Triple
T91747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvert Vaux |
E1842
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Central Park |
E5448
|
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: Central Park | Statement: [Calvert Vaux, notableWork, Central Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Park Context triple: [Calvert Vaux, notableWork, Central Park]
-
A.
Central Park
chosen
Central Park is a large, iconic urban park in the heart of Manhattan, known for its landscaped grounds, recreational spaces, and cultural significance.
-
B.
Hyde Park
Hyde Park is a historic town in New York’s Hudson Valley best known as the longtime home of President Franklin D. Roosevelt and several notable Gilded Age estates.
-
C.
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.
-
D.
Union Square
Union Square is a major commercial and cultural hub in downtown San Francisco, known for its upscale shopping, theaters, hotels, and vibrant urban plaza.
-
E.
New York City park system
The New York City park system is an extensive network of public parks, playgrounds, and green spaces across the five boroughs, including iconic landscapes like Central Park and Prospect Park.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24faa6d608190920c8fc144e85e21 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d72fb0848190bf1f90c556af5f51 |
completed | Feb. 28, 2026, 11:53 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.