Triple
T18332549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy League women’s cross country |
E439180
|
entity |
| Predicate | maximumDisplacingRunnersPerTeam |
P55555
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Ivy League women’s cross country, maximumDisplacingRunnersPerTeam, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDisplacingRunnersPerTeam Context triple: [Ivy League women’s cross country, maximumDisplacingRunnersPerTeam, 7]
-
A.
maximumScoringRunnersPerTeam
chosen
Indicates the maximum number of runners on a team who can be counted or considered based on their scoring performance.
-
B.
maximumAthletesPerNOC
Indicates the maximum number of athletes that any single National Olympic Committee (NOC) is allowed to enter or have participate in a given event or competition.
-
C.
maximumScholarshipsPerTeam
Indicates the highest number of scholarships that any single team is allowed to award or hold.
-
D.
maximumTeamsPerNationPerGender
Indicates the upper limit on how many teams from a single nation are allowed to participate for each gender category.
-
E.
teamLimitPerGame
Indicates the maximum number of times a team is allowed to participate or be involved in a single game or match.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecaf6f48190ae7547cc0f8e6efa |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.