Triple
T4465165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Getty Square |
E98359
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | downtown Yonkers |
E17729
|
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: downtown Yonkers | Statement: [Getty Square, partOf, downtown Yonkers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: downtown Yonkers Context triple: [Getty Square, partOf, downtown Yonkers]
-
A.
Yonkers, New York
chosen
Yonkers, New York is a major suburban city just north of New York City, known for its historic waterfront, diverse neighborhoods, and role as one of the largest cities in the state.
-
B.
Yonkers Waterfront
Yonkers Waterfront is a revitalized riverside district along the Hudson River in Yonkers, New York, known for its parks, promenades, dining, and residential developments.
-
C.
Downtown Brooklyn
Downtown Brooklyn is a major commercial and civic hub of Brooklyn, New York City, known for its government buildings, office towers, shopping centers, and growing residential developments.
-
D.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
-
E.
downtown Albany
Downtown Albany is the central business and governmental district of Albany, New York, featuring state offices, historic architecture, and a concentration of commercial and cultural institutions.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35697937c8190b91f72d9e4f945f6 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6285164b081908f144e74ae3a1be8 |
completed | March 15, 2026, 3:32 a.m. |
Created at: March 12, 2026, 11:34 p.m.