Triple
T17542348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda Rebel |
E427228
|
entity |
| Predicate | seatHeightCharacteristic |
P55406
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Honda Rebel, seatHeightCharacteristic, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatHeightCharacteristic Context triple: [Honda Rebel, seatHeightCharacteristic, low]
-
A.
seatHeight
Indicates the vertical distance of a seat’s sitting surface from a reference level, typically the floor or ground.
-
B.
seatHeightApprox
Indicates that the height of a seat is approximately equal to a specified reference value or measurement.
-
C.
seatFeature
chosen
Indicates that a seat possesses or is equipped with a particular feature or characteristic.
-
D.
seatRecline
Indicates that one entity adjusts or is capable of adjusting the backward tilt or reclining position of a seat relative to another entity or context.
-
E.
seatPitch
Indicates the distance between a seat and the seat directly in front of it, typically measuring legroom or spacing in a seating arrangement.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545f1fa08190870c9244d06cf5f6 |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.