Triple
T11998834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolverhampton Racecourse |
E285602
|
entity |
| Predicate | hasRaceCategory |
P49213
|
FINISHED |
| Object | handicap races |
—
|
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: handicap races | Statement: [Wolverhampton Racecourse, hasRaceCategory, handicap races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRaceCategory Context triple: [Wolverhampton Racecourse, hasRaceCategory, handicap races]
-
A.
hasRaceClass
chosen
Indicates that an entity participates in or is associated with a particular race classification or category.
-
B.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
C.
hasAssociatedRace
Indicates that an entity is linked to or characterized by a particular race or racial classification.
-
D.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
E.
hasRaceWeek
Indicates that a particular time period is designated as the week during which a race event takes 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.