Triple
T33166491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenimore Street |
E848899
|
entity |
| Predicate | withinBoroughCommunityDistrict |
P43690
|
FINISHED |
| Object | Brooklyn Community District 9 |
—
|
NE NERFINISHED |
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: Brooklyn Community District 9 | Statement: [Fenimore Street, withinBoroughCommunityDistrict, Brooklyn Community District 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: withinBoroughCommunityDistrict Context triple: [Fenimore Street, withinBoroughCommunityDistrict, Brooklyn Community District 9]
-
A.
locatedInBoroughCommunityDistrict
chosen
Indicates that something is situated within a specific borough community district.
-
B.
hasBoroughCommunityDistrictCode
Indicates that a borough is associated with a specific community district code that identifies one of its administrative subdivisions.
-
C.
cityCouncilBorough
Indicates that a city council has jurisdiction over, or is associated with, a specific borough within the city.
-
D.
hasCommunityDistrict
Indicates that an entity is located within, associated with, or falls under the jurisdiction of a specific community district.
-
E.
positionInBorough
Indicates that one entity is located within or belongs to the geographic area of a specific borough.
- 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_69f3495be8808190bbf427733df08aad |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:28 a.m.