Triple
T278463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrior infantry fighting vehicle |
E5299
|
entity |
| Predicate | turret |
P9005
|
FINISHED |
| Object | two-man turret |
—
|
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: two-man turret | Statement: [Warrior infantry fighting vehicle, turret, two-man turret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turret Context triple: [Warrior infantry fighting vehicle, turret, two-man turret]
-
A.
turretCrew
Indicates that an entity serves as a crew member operating or manning a turret associated with another entity.
-
B.
turretTraverse
Indicates the action or capability of a turret rotating horizontally to change its aiming direction.
-
C.
airDefenseSystemComponent
Indicates that one entity is a component or subsystem of an air defense system associated with another entity.
-
D.
towerType
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
-
E.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dee7830819087f153769a8496b9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b765f488190b2cbe4b45cd42821 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c4b773c81908f1017f40b0bfd07 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.