Triple
T31336874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L-twin |
E799197
|
entity |
| Predicate | hasTypicalDisplacementRange |
P13474
|
FINISHED |
| Object | small to large motorcycle engine displacements |
—
|
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: small to large motorcycle engine displacements | Statement: [L-twin, hasTypicalDisplacementRange, small to large motorcycle engine displacements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalDisplacementRange Context triple: [L-twin, hasTypicalDisplacementRange, small to large motorcycle engine displacements]
-
A.
displacementRange
Indicates the minimum and maximum extent of positional change or movement that an entity can undergo or exhibits.
-
B.
hasDisplacement
Indicates a relationship where an entity experiences or is assigned a change in position or location from an initial point to a final point.
-
C.
hasMaxDisplacement
Indicates the maximum distance or extent to which something can move or be displaced from its original position.
-
D.
hasDisplacementType
Indicates the specific kind or category of displacement associated with an entity or process.
-
E.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
- 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_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 29, 2026, 9:16 p.m.