Triple
T8497000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BSF Water Wing |
E201123
|
entity |
| Predicate | operationalAlignment |
P38324
|
FINISHED |
| Object | internal security framework of India |
—
|
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: internal security framework of India | Statement: [BSF Water Wing, operationalAlignment, internal security framework of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalAlignment Context triple: [BSF Water Wing, operationalAlignment, internal security framework of India]
-
A.
policyAlignment
chosen
Indicates the degree to which one entity’s policies are consistent with, supportive of, or in agreement with those of another entity.
-
B.
operationalScope
Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
-
C.
operationalNature
Indicates the functional or practical manner in which an entity, process, or system operates or carries out its activities.
-
D.
operationalConcept
Indicates that one entity defines, specifies, or embodies the operational concept or way of functioning for another entity.
-
E.
operationalReadiness
Indicates that an entity is in a state where it is fully prepared, equipped, and able to perform its intended function or mission.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57f8c508190b3a93ef180db9873 |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.