Triple
T6117746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I cross country |
E136402
|
entity |
| Predicate | typicalDisplacementRunnersPerTeam |
P27342
|
FINISHED |
| Object | 2 displacement runners |
—
|
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: 2 displacement runners | Statement: [NCAA Division I cross country, typicalDisplacementRunnersPerTeam, 2 displacement runners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDisplacementRunnersPerTeam Context triple: [NCAA Division I cross country, typicalDisplacementRunnersPerTeam, 2 displacement runners]
-
A.
maximumScoringRunnersPerTeam
Indicates the maximum number of runners on a team who can be counted or considered based on their scoring performance.
-
B.
typicalNumberOfAthletes
chosen
Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
-
C.
displacementRate
Indicates the rate at which an entity’s position changes over time relative to a reference point or frame.
-
D.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
E.
typicalNumberOfTopDivisionTeams
Indicates the usual or standard number of teams that compete in the highest-level division of a league or competition.
- 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.