Triple
T18279692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M561 tractor unit |
E437831
|
entity |
| Predicate | steers |
P45638
|
FINISHED |
| Object | front axle wheels |
—
|
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: front axle wheels | Statement: [M561 tractor unit, steers, front axle wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steers Context triple: [M561 tractor unit, steers, front axle wheels]
-
A.
hasSteering
chosen
Indicates that one entity is equipped with or possesses a steering mechanism that allows control of its direction.
-
B.
steeringType
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
-
C.
drives
Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
-
D.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
E.
turns
Indicates a change in orientation, direction, or state initiated by one entity affecting itself or 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50054d1dc8190b31d02f617256e9d |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.