Triple
T19158376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculdade de Economia da Universidade Nova de Lisboa |
E468985
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
FEUNL
FEUNL is the economics faculty of NOVA University Lisbon, recognized as a leading Portuguese institution for economics and management education and research.
|
E1361329
|
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: FEUNL | Statement: [Faculdade de Economia da Universidade Nova de Lisboa, hasAbbreviation, FEUNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FEUNL Context triple: [Faculdade de Economia da Universidade Nova de Lisboa, hasAbbreviation, FEUNL]
-
A.
FUNAAB
FUNAAB is a Nigerian federal university specializing in agricultural and related sciences, located in Abeokuta, Ogun State.
-
B.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
C.
FLE
FLE is the National Rail station code for Fleet railway station in Hampshire, England.
-
D.
FLE
FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
E.
FUNO
FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
- 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: FEUNL Triple: [Faculdade de Economia da Universidade Nova de Lisboa, hasAbbreviation, FEUNL]
Generated description
FEUNL is the economics faculty of NOVA University Lisbon, recognized as a leading Portuguese institution for economics and management education and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FEUNL Target entity description: FEUNL is the economics faculty of NOVA University Lisbon, recognized as a leading Portuguese institution for economics and management education and research.
-
A.
FUNAAB
FUNAAB is a Nigerian federal university specializing in agricultural and related sciences, located in Abeokuta, Ogun State.
-
B.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
C.
FLE
FLE is the National Rail station code for Fleet railway station in Hampshire, England.
-
D.
FLE
FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
E.
FUNO
FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebb573081909fcd6af8aff8692b |
completed | April 20, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f25ad7448190b355a1bef148a09c |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f39537ac8190b8f38a123ac02556 |
completed | May 15, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4199a588190943d3d45536a228c |
completed | May 15, 2026, 10:23 a.m. |
Created at: April 10, 2026, 12:06 p.m.