Triple
T19096801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Lucía Air Force Base |
E467426
|
entity |
| Predicate | hasIataCode |
P2569
|
FINISHED |
| Object | NLU |
—
|
NE NERFINISHED |
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: NLU | Statement: [Santa Lucía Air Force Base, hasIataCode, NLU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NLU Context triple: [Santa Lucía Air Force Base, hasIataCode, NLU]
-
A.
NLU
chosen
NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
-
B.
RMLNLU
RMLNLU is a premier public law university located in Lucknow, Uttar Pradesh, India, offering undergraduate and postgraduate legal education and research programs.
-
C.
NLI
NLI is the commonly used abbreviation for the National Library of Ireland, the country’s primary institution for preserving and providing access to Ireland’s documentary and literary heritage.
-
D.
NLI
NLI is the vehicle registration code used on license plates for cars registered in Orneta, Poland.
-
E.
Google Natural Language API
Google Natural Language API is a cloud-based service that uses machine learning to analyze and understand text, offering features like sentiment analysis, entity recognition, syntax parsing, and content classification.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e369aeac81908913c21f4c234c8e |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.