Triple
T8560721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahila Battalions |
E202682
|
entity |
| Predicate | policingApproach |
P21773
|
FINISHED |
| Object | gender-sensitive approach to law enforcement |
—
|
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: gender-sensitive approach to law enforcement | Statement: [Mahila Battalions, policingApproach, gender-sensitive approach to law enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policingApproach Context triple: [Mahila Battalions, policingApproach, gender-sensitive approach to law enforcement]
-
A.
policingModel
chosen
Indicates the approach, strategy, or framework used to organize and conduct policing activities or law enforcement operations.
-
B.
policyApproach
Indicates the strategy, method, or overall course of action adopted in creating, implementing, or managing a policy.
-
C.
policeControl
Indicates that one entity exercises authoritative oversight, regulation, or enforcement power over another, as a police force does over people or areas under its jurisdiction.
-
D.
policeSystem
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
-
E.
replacedPolicyApproach
Indicates that one policy approach has been superseded and taken the place of another policy approach.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe94af14481908b8762e0dc61f10f |
completed | March 31, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.