Triple
T29209098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tekanpur |
E740498
|
entity |
| Predicate | lawEnforcementTraining |
P129507
|
FINISHED |
| Object | central training location for BSF officers |
—
|
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: central training location for BSF officers | Statement: [Tekanpur, lawEnforcementTraining, central training location for BSF officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawEnforcementTraining Context triple: [Tekanpur, lawEnforcementTraining, central training location for BSF officers]
-
A.
lawEnforcementCertification
Indicates that an entity has been officially certified or authorized to perform law enforcement duties.
-
B.
lawEnforcementContext
chosen
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a law enforcement setting, process, or activity.
-
C.
lawEnforcementLead
Indicates that one entity serves as the primary person or organization in charge of directing or overseeing law enforcement activities related to another entity or situation.
-
D.
lawEnforcementLabel
Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
-
E.
typeOfLawEnforcement
Indicates that one entity is a specific kind or category of law enforcement associated with another entity.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66403fce48190817d399195f1339a |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:10 p.m.