Triple
T20716099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester Racecourse |
E509172
|
entity |
| Predicate | hasApproximateSeason |
P1014
|
FINISHED |
| Object | May to October |
—
|
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: May to October | Statement: [Worcester Racecourse, hasApproximateSeason, May to October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateSeason Context triple: [Worcester Racecourse, hasApproximateSeason, May to October]
-
A.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
B.
hasSeasonScope
Indicates that something is applicable, valid, or relevant only within a specified season or seasonal period.
-
C.
hasSeasonFrequency
Indicates how often something occurs or is scheduled within a specific season.
-
D.
hasSeasonLength
Indicates that one entity has a specified duration or length for its season.
-
E.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d1f3308190ae594a5b9e4ab9d5 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:15 p.m.