Triple
T15260792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tingle Creek |
E364767
|
entity |
| Predicate | subSport |
P52152
|
FINISHED |
| Object | National Hunt racing |
—
|
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: National Hunt racing | Statement: [Tingle Creek, subSport, National Hunt racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subSport Context triple: [Tingle Creek, subSport, National Hunt racing]
-
A.
sportCategory
Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
-
B.
sportsCategory
chosen
Indicates that one entity is classified as a type or category within the domain of sports to which the other entity belongs.
-
C.
secondarySport
Indicates that an entity participates in or is associated with a sport that is not their primary or main sport.
-
D.
relatedSport
Indicates that there is an association or connection between an entity and a particular sport.
-
E.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.