Triple
T4460907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I Women’s Cross Country Championships |
E98250
|
entity |
| Predicate | maximumScoringRunnersPerTeam |
P55555
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [NCAA Division I Women’s Cross Country Championships, maximumScoringRunnersPerTeam, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumScoringRunnersPerTeam Context triple: [NCAA Division I Women’s Cross Country Championships, maximumScoringRunnersPerTeam, 5]
-
A.
maximumScholarshipsPerTeam
Indicates the highest number of scholarships that any single team is allowed to award or hold.
-
B.
usesNumberOfPlayersOnFieldPerTeam
Indicates that the relationship specifies or depends on how many players each team has on the field at a given time.
-
C.
teamRosterLimit
Indicates the maximum number of members that are allowed to be on a team’s roster.
-
D.
mostRuns
Indicates that one entity has scored a greater number of runs than all comparable entities in a given context or set.
-
E.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
- F. None of above. chosen
Provenance (4 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35673337c8190b923159791ec27e3 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:34 p.m.