Triple
T24938429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit Le Mans |
E623380
|
entity |
| Predicate | hostVenueOpened |
P105117
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Petit Le Mans, hostVenueOpened, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostVenueOpened Context triple: [Petit Le Mans, hostVenueOpened, 1970]
-
A.
homeVenueOpened
Indicates that a venue has officially begun operating as the designated home location for a particular team or organization.
-
B.
mainVenueOpened
Indicates that the primary venue associated with an event or organization has begun operations or officially opened.
-
C.
venueOpenedForEvent
chosen
Indicates that a venue was opened or made available specifically for hosting a particular event.
-
D.
openedAsVenue
Indicates that an entity began operating or was first established as a venue for events or public use.
-
E.
hostVenueInstanceOf
Indicates that a specific host venue is an instance or concrete realization of a more general venue type or category.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f423d7e6188190b7f140244dfadc38 |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:30 a.m.