Triple
T31902974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Gayari sector avalanche |
E814472
|
entity |
| Predicate | militaryUnitAffected |
P1063
|
FINISHED |
| Object | Northern Light Infantry |
—
|
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: Northern Light Infantry | Statement: [2012 Gayari sector avalanche, militaryUnitAffected, Northern Light Infantry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryUnitAffected Context triple: [2012 Gayari sector avalanche, militaryUnitAffected, Northern Light Infantry]
-
A.
usesMilitaryUnit
Indicates that one entity employs, deploys, or otherwise makes operational use of a specific military unit.
-
B.
isAboutMilitaryUnit
Indicates that something (such as a document, statement, or resource) concerns, discusses, or pertains to a specific military unit.
-
C.
militaryUnitOf
Indicates that one entity is a military unit that belongs to, is part of, or is under the command or organizational structure of another entity.
-
D.
militaryUnitInvolvedInDeath
Indicates that a specific military unit participated in, contributed to, or was otherwise involved in causing a particular death.
-
E.
involvedUnit
chosen
Indicates that a particular unit (such as a group, organization, or division) participates in, is associated with, or plays a role in the referenced event or activity.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, midnight