Triple
T30892566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arambagh subdivision |
E786939
|
entity |
| Predicate | hasPoliceSubdivision |
P196182
|
FINISHED |
| Object | Arambagh police subdivision |
—
|
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: Arambagh police subdivision | Statement: [Arambagh subdivision, hasPoliceSubdivision, Arambagh police subdivision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceSubdivision Context triple: [Arambagh subdivision, hasPoliceSubdivision, Arambagh police subdivision]
-
A.
hasPoliceDistrict
Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
-
B.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
C.
hasPoliceInstitution
Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
-
D.
hasPoliceCommissionerate
Indicates that a particular area or jurisdiction falls under the authority or administration of a specific police commissionerate.
-
E.
hasPoliceHeadquarters
Indicates that a location serves as the main administrative headquarters for a police organization.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
| PDg | Predicate description generation | batch_69fe12a769c08190bc445d302d2e8f98 |
completed | May 8, 2026, 4:43 p.m. |
Created at: April 29, 2026, 8:49 p.m.