Triple
T15338034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newmarket Racecourse |
E366718
|
entity |
| Predicate | primaryRacingType |
P69994
|
FINISHED |
| Object | flat 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: flat racing | Statement: [Newmarket Racecourse, primaryRacingType, flat racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRacingType Context triple: [Newmarket Racecourse, primaryRacingType, flat racing]
-
A.
racecourseType
chosen
Indicates the specific kind or classification of a racecourse associated with an entity.
-
B.
raceTypeDetail
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
-
C.
raceTypeHosted
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
D.
stageRaceType
Indicates the specific category or format of a multi-stage race within a broader competition or event.
-
E.
raceStartType
Indicates the manner or format in which a race is initiated (e.g., type or method of starting the race).
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.