Triple
T6332027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens |
E142402
|
entity |
| Predicate | rankByPopulationInNYC |
P70904
|
FINISHED |
| Object | second most populous borough |
—
|
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: second most populous borough | Statement: [Queens, rankByPopulationInNYC, second most populous borough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByPopulationInNYC Context triple: [Queens, rankByPopulationInNYC, second most populous borough]
-
A.
rankingBySizeInNewYorkState
Indicates the relative ordering of entities based on their size specifically within the context of New York State.
-
B.
isBoroughSeatOf
Indicates that a place serves as the administrative center or seat of government for a specific borough.
-
C.
largestBoroughByPopulationOf
Indicates that one entity is the borough with the highest population within the other entity (typically a city or region).
-
D.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
-
E.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
- F. None of above. chosen
Provenance (4 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:30 p.m.