Triple
T37898966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Surf League Championship Tour |
E945354
|
entity |
| Predicate | hasScoringBasis |
P195069
|
FINISHED |
| Object | judged maneuvers on waves |
—
|
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: judged maneuvers on waves | Statement: [World Surf League Championship Tour, hasScoringBasis, judged maneuvers on waves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScoringBasis Context triple: [World Surf League Championship Tour, hasScoringBasis, judged maneuvers on waves]
-
A.
hasScoringUnit
Indicates that one entity possesses or is associated with a unit used for scoring, measurement, or point allocation in a given context.
-
B.
hasScorer
Indicates that one entity serves as the scorer (e.g., the one who scores points, goals, or evaluations) in relation to another entity.
-
C.
hasScoreBy
Indicates that one entity possesses or is associated with a score that was assigned, produced, or determined by another entity.
-
D.
hasScoreAvailable
Indicates that a score or rating for the relevant entity is present and can be accessed.
-
E.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
| PDg | Predicate description generation | batch_69fd9fef7aac819089cc88dd3d00296d |
completed | May 8, 2026, 8:33 a.m. |
Created at: May 3, 2026, 4:19 p.m.