Triple
T26855976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford University Women’s Boat Club |
E676193
|
entity |
| Predicate | trainsCrewsFor |
P111884
|
FINISHED |
| Object | Oxford women’s lightweight crew |
—
|
NE NERFINISHED |
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: Oxford women’s lightweight crew | Statement: [Oxford University Women’s Boat Club, trainsCrewsFor, Oxford women’s lightweight crew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainsCrewsFor Context triple: [Oxford University Women’s Boat Club, trainsCrewsFor, Oxford women’s lightweight crew]
-
A.
maintainsTrainsFor
Indicates that one entity is responsible for servicing, repairing, or otherwise keeping trains operational for another entity.
-
B.
trainsForOccupation
Indicates that an entity undergoes training or preparation aimed at qualifying for or performing a specific occupation.
-
C.
canFormTrainOf
Indicates that one entity is capable of being physically or logically connected with another to form a continuous train or sequence.
-
D.
alsoTrains
chosen
Indicates that an entity, in addition to its primary role or activity, is involved in training another entity.
-
E.
trainsInDiscipline
Indicates that one entity undergoes training or instruction within a particular discipline, field, or area of expertise associated with another entity.
- 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:21 a.m.