Triple
T17180781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda CBR1100XX |
E416975
|
entity |
| Predicate | strokeCycle |
P126638
|
FINISHED |
| Object | four-stroke |
—
|
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: four-stroke | Statement: [Honda CBR1100XX, strokeCycle, four-stroke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strokeCycle Context triple: [Honda CBR1100XX, strokeCycle, four-stroke]
-
A.
strokeEvents
Indicates that one entity experiences, causes, or is associated with stroke-related medical events in relation to another entity or context.
-
B.
samplingCycle
Indicates the recurring interval or sequence in which sampling or measurement actions are performed.
-
C.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
-
D.
movementCycle
Indicates a recurring pattern or sequence of movements that an entity performs over a period of time.
-
E.
iconographicCycle
Indicates a relationship where multiple visual representations are linked together as parts of a coherent, sequential iconographic narrative or thematic series.
- F. None of above. chosen
Provenance (4 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc10afb48190a71f4a46f0280a14 |
completed | April 18, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.