Triple
T31674111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Thorpe |
E808350
|
entity |
| Predicate | earlyCareerTrainingVenue |
P124314
|
FINISHED |
| Object | Sutherland Leisure Centre |
—
|
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: Sutherland Leisure Centre | Statement: [Ian Thorpe, earlyCareerTrainingVenue, Sutherland Leisure Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyCareerTrainingVenue Context triple: [Ian Thorpe, earlyCareerTrainingVenue, Sutherland Leisure Centre]
-
A.
earlyVenue
Indicates that an event or activity takes place at a venue earlier than a standard, expected, or comparative time.
-
B.
apprenticeshipLocation
Indicates the place or institution where an apprenticeship is carried out or hosted.
-
C.
offersApprenticeshipTraining
Indicates that one entity provides apprenticeship-based training opportunities or programs to another entity.
-
D.
earlyCareerAt
chosen
Indicates that an entity spent the early part of its career working at or being affiliated with another entity.
-
E.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:02 p.m.