Triple
T31082642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Fada |
E792141
|
entity |
| Predicate | equipmentCapturedFromLibya |
P14511
|
FINISHED |
| Object | dozens of tanks |
—
|
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: dozens of tanks | Statement: [Battle of Fada, equipmentCapturedFromLibya, dozens of tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equipmentCapturedFromLibya Context triple: [Battle of Fada, equipmentCapturedFromLibya, dozens of tanks]
-
A.
capturedEquipment
chosen
Indicates that one party has taken possession of another party’s equipment, typically as a result of conflict, competition, or enforcement.
-
B.
isMilitaryAssetOf
Indicates that something functions as a military resource, equipment, or facility that belongs to, is controlled by, or is used by a particular entity.
-
C.
missionEquipment
Indicates that certain equipment is assigned to, used for, or associated with carrying out a specific mission.
-
D.
enemyMilitaryAsset
Indicates that one entity is a military asset belonging to or controlled by an enemy force relative to the other entity.
-
E.
rescueEquipment
Indicates that one entity serves as equipment or gear used by another entity for performing rescue or emergency-saving operations.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:02 p.m.