Triple
T29668239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 47th Precinct station house |
E750592
|
entity |
| Predicate | hasPolicePrecinctNumber |
P25037
|
FINISHED |
| Object | 47 |
—
|
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: 47 | Statement: [47th Precinct station house, hasPolicePrecinctNumber, 47]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolicePrecinctNumber Context triple: [47th Precinct station house, hasPolicePrecinctNumber, 47]
-
A.
hasPoliceDistrict
Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
-
B.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
C.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
D.
policeNumber
chosen
Indicates that an entity is associated with a specific police-related identification or reference number.
-
E.
hasPoliceInstitution
Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 28, 2026, 7:02 p.m.