Triple
T36147345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEI Driving |
E1045486
|
entity |
| Predicate | hasIndividualFormat |
P23479
|
FINISHED |
| Object | individual drivers |
—
|
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: individual drivers | Statement: [FEI Driving, hasIndividualFormat, individual drivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndividualFormat Context triple: [FEI Driving, hasIndividualFormat, individual drivers]
-
A.
hasShowFormat
Indicates that something (such as a show or program) is associated with or presented in a particular format or style.
-
B.
hasFormatElement
chosen
Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
-
C.
hasSecondaryFormat
Indicates that an entity is associated with an additional, alternative, or supplementary format beyond its primary format.
-
D.
hasFormatSpecification
Indicates that something is associated with a particular format definition or specification that describes how it should be structured or represented.
-
E.
containsFormat
Indicates that one entity includes or is associated with a particular format type as part of its content or representation.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00a2f0d1588190a936ea7df0ef0464 |
completed | May 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_6a00a28ccd94819085b5e123f5a4769e |
completed | May 10, 2026, 3:21 p.m. |
Created at: May 3, 2026, 4:08 p.m.