Triple
T19723861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Driver and Mechanic Badge |
E473673
|
entity |
| Predicate | appliesToEquipment |
P44687
|
FINISHED |
| Object | wheeled military vehicles |
—
|
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: wheeled military vehicles | Statement: [Driver and Mechanic Badge, appliesToEquipment, wheeled military vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToEquipment Context triple: [Driver and Mechanic Badge, appliesToEquipment, wheeled military vehicles]
-
A.
supportedEquipment
Indicates that one entity provides compatibility with, or operational support for, a specified piece of equipment.
-
B.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
C.
appliesToProductType
chosen
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
-
D.
typeOfEquipmentUsed
Indicates that a particular piece or category of equipment is utilized in performing a specific action, process, or activity.
-
E.
usesEquipment
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f64984819097882c44098b1643 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:46 p.m.