Triple
T2174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City |
E40
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | The Big Apple |
E40
|
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: The Big Apple | Statement: [New York City, nickname, The Big Apple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Apple Context triple: [New York City, nickname, The Big Apple]
-
A.
New York City
chosen
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
-
B.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
-
C.
New York
New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
-
D.
Times Square
Times Square is a major commercial and entertainment hub in Midtown Manhattan, famous for its bright billboards, Broadway theaters, and New Year’s Eve ball drop.
-
E.
Broadway Theatre District
The Broadway Theatre District is New York City's famed hub of live theater and musicals, centered around Times Square and known as the pinnacle of American commercial stage performance.
- 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_69a22cde80848190b62c5f556b4d62ba |
completed | Feb. 27, 2026, 11:46 p.m. |
| NER | Named-entity recognition | batch_69a230c560548190a57df2421e233775 |
completed | Feb. 28, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248d31b848190bad943bca271fca0 |
completed | Feb. 28, 2026, 1:45 a.m. |
Created at: Feb. 27, 2026, 11:48 p.m.