Triple
T18279722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gama Goat |
E437832
|
entity |
| Predicate | hasArticulatedChassis |
P67147
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gama Goat, hasArticulatedChassis, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArticulatedChassis Context triple: [Gama Goat, hasArticulatedChassis, true]
-
A.
hasLeadingWheelArrangement
Indicates the specific configuration of the leading (front) wheels in a vehicle’s or locomotive’s wheel arrangement.
-
B.
hasAxleCount
Indicates the number of axles that an object (typically a vehicle or rolling stock) possesses.
-
C.
testArticulated
Indicates that an articulated mechanism, structure, or component has been examined or evaluated, typically to verify its movement, function, or performance.
-
D.
chassis
Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
-
E.
hasChassisType
chosen
Indicates that an entity is associated with or equipped with a specific type of chassis.
- 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.