Triple
T34531763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learfield Directors' Cup |
E886556
|
entity |
| Predicate | maximumNumberOfSportsCounted |
P13801
|
FINISHED |
| Object | varies by division |
—
|
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: varies by division | Statement: [Learfield Directors' Cup, maximumNumberOfSportsCounted, varies by division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumNumberOfSportsCounted Context triple: [Learfield Directors' Cup, maximumNumberOfSportsCounted, varies by division]
-
A.
numberOfSports
Indicates the quantity of distinct sports associated with or involved in a given entity.
-
B.
gameCountMaximum
Indicates the maximum number of games allowed or recorded in a given context or relationship.
-
C.
sportsCount
chosen
Indicates the number of sports associated with or involved in a given entity or context.
-
D.
sportNumber
Indicates the specific jersey or uniform number associated with an athlete in a sporting context.
-
E.
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.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 2:02 a.m.