Triple
T18138743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York International Auto Show |
E434203
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NYIAS |
—
|
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: NYIAS | Statement: [New York International Auto Show, abbreviation, NYIAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NYIAS Context triple: [New York International Auto Show, abbreviation, NYIAS]
-
A.
NYIAS
chosen
NYIAS is a major annual automotive exhibition held in New York City that showcases new car models, concept vehicles, and industry innovations.
-
B.
NYA
NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
-
C.
NIA
NIA is India’s premier federal counter-terrorism and national security investigation agency.
-
D.
NIA
NIA is the ICAO airline designator assigned to Nile Air, a private Egyptian airline based in Cairo.
-
E.
NIA
NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0993e88190b19c5cb35a6d252d |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.