Triple
T6817095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Avenue |
E156791
|
entity |
| Predicate | hasNotableIntersectionWith |
P13379
|
FINISHED |
| Object | 57th Street |
E376922
|
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: 57th Street | Statement: [Park Avenue, hasNotableIntersectionWith, 57th Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 57th Street Context triple: [Park Avenue, hasNotableIntersectionWith, 57th Street]
-
A.
57th Street
chosen
57th Street is a major east–west thoroughfare in Midtown Manhattan known for its luxury shopping, high-end residences, and prominent commercial buildings.
-
B.
86th Street
86th Street is a major local subway station on Manhattan’s Upper East Side serving the Lexington Avenue Line.
-
C.
86th Street
86th Street is a New York City Subway station on Manhattan’s Upper West Side, serving the IRT Broadway–Seventh Avenue Line.
-
D.
157th Street
157th Street is a New York City Subway station in Manhattan on the IRT Broadway–Seventh Avenue Line.
-
E.
South 67th Street
South 67th Street is a roadway in Chicago notable for running alongside Oak Woods Cemetery on the city’s South Side.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cbcc02fc8190b0f9049dffc22021 |
completed | March 30, 2026, 1:03 a.m. |
Created at: March 27, 2026, 2:17 p.m.