Triple
T29447644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6 Hours of Fuji |
E746892
|
entity |
| Predicate | trackLengthUsed |
P69216
|
FINISHED |
| Object | approximately 4.563 km |
—
|
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: approximately 4.563 km | Statement: [6 Hours of Fuji, trackLengthUsed, approximately 4.563 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackLengthUsed Context triple: [6 Hours of Fuji, trackLengthUsed, approximately 4.563 km]
-
A.
trackUsed
Indicates that a particular track (such as a route, path, or media track) has been utilized or selected in a given context.
-
B.
lapLengthOfTrack
Indicates the distance or length of a single lap around a track.
-
C.
trackLengthMiles
Indicates the length of a track measured in miles.
-
D.
usableLength
Indicates the portion of an object’s total length that can actually be used for its intended function or purpose.
-
E.
trackLengthApproxKm
chosen
Indicates that one entity has an approximate track length, measured in kilometers, associated with it.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 28, 2026, 3:29 p.m.