Triple
T6088715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippodrome de Longchamp |
E135702
|
entity |
| Predicate | notableRaceType |
P20128
|
FINISHED |
| Object | Group 1 flat 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: Group 1 flat races | Statement: [Hippodrome de Longchamp, notableRaceType, Group 1 flat races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRaceType Context triple: [Hippodrome de Longchamp, notableRaceType, Group 1 flat races]
-
A.
notableRaceStyle
Indicates that an entity is particularly recognized for competing in, specializing in, or being associated with a specific style or category of racing.
-
B.
raceTypeDetail
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
-
C.
notableRacingVariant
Indicates that one entity is a particularly recognized or distinguished racing-specific version or trim of another entity.
-
D.
raceTypeHosted
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
E.
notableRaceClass
chosen
Indicates that there exists a notable race or competition of a particular class or category associated with the subject.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.