Triple
T25127526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977 Bucharest earthquake |
E629433
|
entity |
| Predicate | feltInCountry |
P115366
|
FINISHED |
| Object | Greece |
E865
|
NE FINISHED |
How this triple was built (2 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: Greece | Statement: [1977 Bucharest earthquake, feltInCountry, Greece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feltInCountry Context triple: [1977 Bucharest earthquake, feltInCountry, Greece]
-
A.
leftCountry
Indicates that an entity has departed from or is no longer residing in a specified country.
-
B.
fallCountry
Indicates that an entity collapses, fails, or loses control within the context of a specified country.
-
C.
situationCountry
chosen
Indicates that a particular situation or event is associated with, occurs in, or pertains to a specific country.
-
D.
commonInCountry
Indicates that something occurs frequently or is widespread within a specified country.
-
E.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
- F. None of above.
Provenance (4 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105cfa51348190bee27cbcf0f3b3bf |
completed | May 22, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:28 a.m.