Triple
T15668892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peninsula Athletic League |
E377255
|
entity |
| Predicate | organizesSport |
P123
|
FINISHED |
| Object | football |
—
|
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: football | Statement: [Peninsula Athletic League, organizesSport, football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizesSport Context triple: [Peninsula Athletic League, organizesSport, football]
-
A.
sportEventTypeOrganized
Indicates that an entity organizes or is responsible for arranging a specific type of sports event.
-
B.
organizesGamesFor
Indicates that one entity plans, coordinates, or manages games or gaming activities for another entity.
-
C.
competitionOrganized
Indicates that an entity is responsible for arranging, managing, or hosting a competition or contest involving other participants.
-
D.
organizesChampionship
Indicates that an entity is responsible for planning, coordinating, and managing the execution of a championship event.
-
E.
organizes
chosen
Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.