Triple
T3788307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Sliding Centre |
E85581
|
entity |
| Predicate | competitionTrackLength |
P34197
|
FINISHED |
| Object | 1615 metres |
—
|
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: 1615 metres | Statement: [National Sliding Centre, competitionTrackLength, 1615 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionTrackLength Context triple: [National Sliding Centre, competitionTrackLength, 1615 metres]
-
A.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
B.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
C.
perimeterRunningTrackLength
chosen
Indicates the length of a running track that follows the perimeter of a given area or facility.
-
D.
typicalRaceDistanceLaps
Indicates the usual number of laps that constitute the standard race distance for a given racing event or category.
-
E.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d4bc3c81909bd56e33d43fa8e4 |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.