Triple
T2851283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan Island |
E63096
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tribeca |
E54893
|
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: Tribeca | Statement: [Manhattan Island, hasPart, Tribeca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tribeca Context triple: [Manhattan Island, hasPart, Tribeca]
-
A.
Tribeca
chosen
Tribeca is a fashionable lower Manhattan neighborhood known for its cobblestone streets, converted industrial lofts, upscale dining, and the annual Tribeca Film Festival.
-
B.
Nolita
Nolita is a trendy, upscale neighborhood in Lower Manhattan known for its boutique shopping, stylish restaurants, and historic, narrow streets.
-
C.
Gramercy
Gramercy is an upscale, historic neighborhood on Manhattan’s east side, known for its elegant brownstones, tree-lined streets, and the private Gramercy Park.
-
D.
Hell's Kitchen
Hell's Kitchen is a neighborhood on the West Side of Midtown Manhattan in New York City, historically known for its working-class roots and now for its vibrant dining, nightlife, and proximity to Broadway.
-
E.
Kips Bay
Kips Bay is a residential neighborhood on Manhattan’s East Side in New York City, known for its mix of apartment complexes, medical facilities, and waterfront access along the East River.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5ca2648190bd32c6ec4b0dd3b6 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8e23694819089b38a10e1bc2f03 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.