Triple
T532025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andaman and Nicobar Command |
E12242
|
entity |
| Predicate | isOnly |
P3282
|
FINISHED |
| Object | India’s only tri-service theatre command |
—
|
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: India’s only tri-service theatre command | Statement: [Andaman and Nicobar Command, isOnly, India’s only tri-service theatre command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnly Context triple: [Andaman and Nicobar Command, isOnly, India’s only tri-service theatre command]
-
A.
isSelective
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
-
B.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
-
C.
secondOnlyTo
Indicates that one entity ranks immediately below another in degree, importance, or quality, with only that other entity surpassing it.
-
D.
hasSingle
chosen
Indicates that an entity possesses exactly one instance of a specified related entity or attribute.
-
E.
isAt
Indicates that one entity is located at or present in the place or position of 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b3e49081909810fa417b31306f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.