Triple
T6117735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I cross country |
E136402
|
entity |
| Predicate | typicalRaceDistanceMen |
P20127
|
FINISHED |
| Object | 10 kilometers at national championships |
—
|
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: 10 kilometers at national championships | Statement: [NCAA Division I cross country, typicalRaceDistanceMen, 10 kilometers at national championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRaceDistanceMen Context triple: [NCAA Division I cross country, typicalRaceDistanceMen, 10 kilometers at national championships]
-
A.
typicalRaceDistanceUnit
Indicates the standard unit of measurement used to express the usual race distance associated with an entity.
-
B.
majorRaceDistance
chosen
Indicates the standard or primary distance over which a major race or competition is contested.
-
C.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
D.
typicalRaceDistanceLaps
Indicates the usual number of laps that constitute the standard race distance for a given racing event or category.
-
E.
raceTypeBySex
Indicates that a race or competition is categorized or defined based on the sex of its participants.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bec9b8c8190b3268b0ba952aae6 |
completed | March 22, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.