Triple
T381305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CV90 |
E8684
|
entity |
| Predicate | canBeEquippedWith |
P6014
|
FINISHED |
| Object | anti-tank guided missiles |
—
|
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: anti-tank guided missiles | Statement: [CV90, canBeEquippedWith, anti-tank guided missiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeEquippedWith Context triple: [CV90, canBeEquippedWith, anti-tank guided missiles]
-
A.
usesEquipment
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
-
B.
isWearableDecoration
Indicates that one entity serves as a decorative item intended to be worn on the body by another entity.
-
C.
hasWeaponType
chosen
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
D.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
-
E.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.