Triple
T27464536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Automobile Club de l’Ouest |
E693139
|
entity |
| Predicate | typeOfRacesOrganized |
P47791
|
FINISHED |
| Object | endurance sports car 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: endurance sports car races | Statement: [Automobile Club de l’Ouest, typeOfRacesOrganized, endurance sports car races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRacesOrganized Context triple: [Automobile Club de l’Ouest, typeOfRacesOrganized, endurance sports car races]
-
A.
raceTypeHosted
chosen
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
B.
numberOfRaces
Indicates the total count of races associated with a given entity or event.
-
C.
racesOn
Indicates that one entity participates in a race or competitive running event that takes place on or along another entity (such as a track, course, or surface).
-
D.
races
Indicates that one entity competes in a speed-based contest or race against another entity.
-
E.
heldRacesIn
Indicates that an entity organized or hosted races at a particular location or event.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 27, 2026, 12:51 p.m.