Triple
T8039257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World of Sport (ITV wrestling) |
E187394
|
entity |
| Predicate | featuredStyle |
P25796
|
FINISHED |
| Object | rounds-based wrestling rules |
—
|
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: rounds-based wrestling rules | Statement: [World of Sport (ITV wrestling), featuredStyle, rounds-based wrestling rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredStyle Context triple: [World of Sport (ITV wrestling), featuredStyle, rounds-based wrestling rules]
-
A.
featuresStyle
chosen
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
B.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
C.
notableStyleFeature
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
D.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
-
E.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f1bb1d88190b3d2c83387c8ce43 |
completed | March 31, 2026, 3:27 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:23 p.m.