Triple
T32475891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Catharines Rowing Club |
E829973
|
entity |
| Predicate | developsAthletesFor |
P187395
|
FINISHED |
| Object | local competitions |
—
|
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: local competitions | Statement: [St. Catharines Rowing Club, developsAthletesFor, local competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsAthletesFor Context triple: [St. Catharines Rowing Club, developsAthletesFor, local competitions]
-
A.
developsPlayersIn
Indicates a relationship where one entity trains, mentors, or otherwise contributes to the growth and improvement of players within another entity.
-
B.
athleteDevelopmentRole
Indicates a role in guiding, training, or supporting an athlete’s growth and performance over time.
-
C.
overseesAthletesFor
Indicates that one entity is responsible for supervising, managing, or directing the activities and performance of athletes on behalf of another entity.
-
D.
athletesFrom
Indicates that one or more athletes originate from, represent, or are associated with a particular place or organization.
-
E.
athleteRecruitmentFrom
Indicates that an athlete was recruited from a particular source, such as a school, team, or location.
- 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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: May 1, 2026, 12:58 a.m.