Triple
T36478372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | borough of Kings County |
E898734
|
entity |
| Predicate | isBoroughNumber |
P186026
|
FINISHED |
| Object | one of five boroughs of New York City |
—
|
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 five boroughs of New York City | Statement: [borough of Kings County, isBoroughNumber, one of five boroughs of New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBoroughNumber Context triple: [borough of Kings County, isBoroughNumber, one of five boroughs of New York City]
-
A.
hasBoroughCode
Indicates that an entity is associated with a specific borough identified by a particular code.
-
B.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
C.
hasBoroughEndpoint
Indicates that something has an endpoint located within a specific borough.
-
D.
hasBoroughEquivalent
Indicates that one administrative area corresponds functionally or hierarchically to a borough in another jurisdiction or classification system.
-
E.
hasBoroughCommunityDistrictCode
Indicates that a borough is associated with a specific community district code that identifies one of its administrative subdivisions.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:10 p.m.