Triple
T31336865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L-twin |
E799197
|
entity |
| Predicate | hasFrontCylinderOrientation |
P12663
|
FINISHED |
| Object | nearly horizontal front cylinder |
—
|
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: nearly horizontal front cylinder | Statement: [L-twin, hasFrontCylinderOrientation, nearly horizontal front cylinder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrontCylinderOrientation Context triple: [L-twin, hasFrontCylinderOrientation, nearly horizontal front cylinder]
-
A.
coneOrientation
Indicates the directional alignment or pointing direction of a cone relative to a reference frame or object.
-
B.
shaftOrientation
Indicates the directional alignment or angle at which a shaft is positioned or oriented relative to a reference frame or object.
-
C.
cylinderPosition
Indicates the spatial location or placement of a cylinder relative to a defined reference frame or environment.
-
D.
hasFieldOrientation
Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
-
E.
hasOrientation
chosen
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 29, 2026, 9:16 p.m.