Triple
T9421357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanon–United States relations |
E227157
|
entity |
| Predicate | affectedBy |
P9
|
FINISHED |
| Object |
Lebanese financial crisis
The Lebanese financial crisis is a prolonged economic and banking collapse that began in 2019, marked by a currency freefall, bank insolvencies, and widespread poverty, severely undermining Lebanon’s state institutions and regional economic role.
|
E798430
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lebanese financial crisis | Statement: [Lebanon–United States relations, affectedBy, Lebanese financial crisis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebanese financial crisis Context triple: [Lebanon–United States relations, affectedBy, Lebanese financial crisis]
-
A.
Cypriot financial crisis and bailout
The Cypriot financial crisis and bailout was a 2012–2013 banking and sovereign debt emergency in Cyprus that led to unprecedented depositor losses and an international rescue package, making it one of the most dramatic episodes of the wider Eurozone crisis.
-
B.
Latin American debt crisis
The Latin American debt crisis was a severe financial turmoil in the 1980s during which many Latin American countries became unable to service their external debts, leading to economic stagnation, austerity measures, and major shifts in international lending and development policy.
-
C.
Cedar Revolution
The Cedar Revolution was a series of massive, largely peaceful protests in Lebanon in 2005 that demanded the end of Syrian military and political influence and led to the withdrawal of Syrian troops from the country.
-
D.
Russian financial crisis of 1998
The Russian financial crisis of 1998 was a severe economic collapse marked by a sharp devaluation of the ruble, default on domestic debt, and banking sector turmoil that undermined confidence in Russia’s post-Soviet market reforms.
-
E.
Nixon shock
The Nixon shock was a series of unexpected economic measures in 1971, most notably ending the U.S. dollar’s convertibility to gold and imposing wage and price controls, which effectively dismantled the Bretton Woods system and reshaped the global monetary order.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lebanese financial crisis Triple: [Lebanon–United States relations, affectedBy, Lebanese financial crisis]
Generated description
The Lebanese financial crisis is a prolonged economic and banking collapse that began in 2019, marked by a currency freefall, bank insolvencies, and widespread poverty, severely undermining Lebanon’s state institutions and regional economic role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lebanese financial crisis Target entity description: The Lebanese financial crisis is a prolonged economic and banking collapse that began in 2019, marked by a currency freefall, bank insolvencies, and widespread poverty, severely undermining Lebanon’s state institutions and regional economic role.
-
A.
Cypriot financial crisis and bailout
The Cypriot financial crisis and bailout was a 2012–2013 banking and sovereign debt emergency in Cyprus that led to unprecedented depositor losses and an international rescue package, making it one of the most dramatic episodes of the wider Eurozone crisis.
-
B.
Latin American debt crisis
The Latin American debt crisis was a severe financial turmoil in the 1980s during which many Latin American countries became unable to service their external debts, leading to economic stagnation, austerity measures, and major shifts in international lending and development policy.
-
C.
Cedar Revolution
The Cedar Revolution was a series of massive, largely peaceful protests in Lebanon in 2005 that demanded the end of Syrian military and political influence and led to the withdrawal of Syrian troops from the country.
-
D.
Russian financial crisis of 1998
The Russian financial crisis of 1998 was a severe economic collapse marked by a sharp devaluation of the ruble, default on domestic debt, and banking sector turmoil that undermined confidence in Russia’s post-Soviet market reforms.
-
E.
Nixon shock
The Nixon shock was a series of unexpected economic measures in 1971, most notably ending the U.S. dollar’s convertibility to gold and imposing wage and price controls, which effectively dismantled the Bretton Woods system and reshaped the global monetary order.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2651c48190808281779fab49df |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c95c9481909957b99cacf5e045 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1085a980c8190b4c6d811b07ab180 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1093f440481909aa27287019191ac |
completed | April 4, 2026, 12:51 p.m. |
Created at: March 30, 2026, 7:48 p.m.