Triple
T17635721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark I tank |
E430086
|
entity |
| Predicate | steeringMethod |
P19324
|
FINISHED |
| Object | differential braking and steering tail |
—
|
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: differential braking and steering tail | Statement: [Mark I tank, steeringMethod, differential braking and steering tail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steeringMethod Context triple: [Mark I tank, steeringMethod, differential braking and steering tail]
-
A.
steeringType
chosen
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
-
B.
hasSteering
Indicates that one entity is equipped with or possesses a steering mechanism that allows control of its direction.
-
C.
driveModes
Indicates that an entity (such as a vehicle or device) supports or operates in one or more specific driving or operational modes.
-
D.
steeringWheelPosition
Indicates the relative location or orientation of a steering wheel with respect to a reference point, such as a vehicle’s interior layout or driving side.
-
E.
driveScheme
Indicates that one entity operates or controls a scheme, system, or initiative, causing it to function or move forward.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de0ad988190b1a2c0bff69eb9f1 |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.