Triple
T17708031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | government of Yonkers, New York |
E441482
|
entity |
| Predicate | scaleOfCity |
P51780
|
FINISHED |
| Object | one of the largest cities in New York State |
—
|
LITERAL 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: one of the largest cities in New York State | Statement: [government of Yonkers, New York, scaleOfCity, one of the largest cities in New York State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleOfCity Context triple: [government of Yonkers, New York, scaleOfCity, one of the largest cities in New York State]
-
A.
urbanScale
Indicates the extent or magnitude of development, density, or size at which an area or environment can be characterized as urban.
-
B.
cityGovernedSize
chosen
Indicates the size or scale of a city in terms of the area or population it governs.
-
C.
cityLevel
Indicates the administrative or hierarchical rank of a city within a broader regional or national structure.
-
D.
cityTierContext
Indicates the classification of a city into a specific tier or level within a contextual hierarchy (such as economic, demographic, or strategic importance).
-
E.
hasCityRank
Indicates that a city holds a particular rank or position within a defined ordering or hierarchy (such as size, importance, or administrative level).
- F. None of above.
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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e472990b5c81908e0414d3230f283e |
completed | April 19, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:05 a.m.