Triple
T27567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York |
E550
|
entity |
| Predicate | postalAbbreviation |
P43
|
FINISHED |
| Object | NY |
E550
|
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: NY | Statement: [New York, postalAbbreviation, NY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NY Context triple: [New York, postalAbbreviation, NY]
-
A.
New York
chosen
New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
-
B.
New Jersey, United States
New Jersey, United States is a Mid-Atlantic state known for its dense population, diverse cities and suburbs, and proximity to major metropolitan areas like New York City and Philadelphia.
-
C.
XNYS
XNYS is the ISO 10383 Market Identifier Code (MIC) for the New York Stock Exchange, one of the largest and most influential stock exchanges in the world.
-
D.
NYM
NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
-
E.
NYI
NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2467875048190aad87347c7a1cb67 |
completed | Feb. 28, 2026, 1:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3949ab3e08190ac62002644f514c0 |
completed | March 1, 2026, 1:21 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.