Triple
T23593753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senna Straight |
E582555
|
entity |
| Predicate | isSectionOfTrack |
P79289
|
FINISHED |
| Object | Snetterton main circuit |
—
|
NE NERFINISHED |
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: Snetterton main circuit | Statement: [Senna Straight, isSectionOfTrack, Snetterton main circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSectionOfTrack Context triple: [Senna Straight, isSectionOfTrack, Snetterton main circuit]
-
A.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
B.
partOfTrack
chosen
Indicates that something is a segment or component belonging to a larger track or route.
-
C.
isChapterOrTrackOf
Indicates that one item functions as a chapter or track that forms part of a larger work or collection.
-
D.
isOnSectionOf
Indicates that one entity is located on, or positioned along, a specific segment or subsection of another entity.
-
E.
isLeadTrackOf
Indicates that a track serves as the primary or featured track associated with a particular release, album, or recording project.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08d63dc81908c092a87cf61f2b9 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.