Triple
T22419952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WinSport |
E554218
|
entity |
| Predicate | hasTrainingCenterFor |
P101563
|
FINISHED |
| Object | Olympic athletes |
—
|
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: Olympic athletes | Statement: [WinSport, hasTrainingCenterFor, Olympic athletes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingCenterFor Context triple: [WinSport, hasTrainingCenterFor, Olympic athletes]
-
A.
hasStudyCentresIn
Indicates that an organization or institution operates or maintains study centers located in a specified place.
-
B.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
-
C.
trainingStations
chosen
Indicates a relationship where certain locations or facilities serve as designated sites for training activities or instruction.
-
D.
hasInformationCenterFor
Indicates that one entity serves as an information center dedicated to providing information or services related to another entity.
-
E.
hasTrainingBaseIn
Indicates that an entity maintains or operates a training base located in a specified place.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594a58508190b41fd16c8de5f8b4 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.