Triple
T31336877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L-twin |
E799197
|
entity |
| Predicate | hasCoolingCharacteristic |
P179749
|
FINISHED |
| Object | front cylinder exposed to airflow |
—
|
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: front cylinder exposed to airflow | Statement: [L-twin, hasCoolingCharacteristic, front cylinder exposed to airflow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoolingCharacteristic Context triple: [L-twin, hasCoolingCharacteristic, front cylinder exposed to airflow]
-
A.
hasAirCooling
chosen
Indicates that an entity is equipped with or utilizes an air-based cooling system.
-
B.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
-
C.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
-
D.
hasThermalCharacteristic
Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
-
E.
coolingRequirement
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
- 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_6a02008fcf1c8190b5b6c285944c52e9 |
completed | May 11, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_6a01ffd3ba008190b6f026bd4e6b9a37 |
completed | May 11, 2026, 4:12 p.m. |
Created at: April 29, 2026, 9:16 p.m.