Triple
T35795311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1950 British Grand Prix |
E1034814
|
entity |
| Predicate | nonChampionshipSupportRacesHeld |
P133060
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1950 British Grand Prix, nonChampionshipSupportRacesHeld, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonChampionshipSupportRacesHeld Context triple: [1950 British Grand Prix, nonChampionshipSupportRacesHeld, true]
-
A.
hadNonChampionshipRaces
chosen
Indicates that the subject participated in races that were not part of a championship series or title competition.
-
B.
championshipHeld
Indicates that a championship event took place or was hosted at a particular time and/or location.
-
C.
heldRacesIn
Indicates that an entity organized or hosted races at a particular location or event.
-
D.
championshipHeldIn
Indicates that a particular championship event takes place or is hosted in a specific location.
-
E.
supportsChampionshipsOf
Indicates that one entity provides backing, resources, or endorsement for the championships associated with another entity.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a25431b481908e39e953b207b6be |
completed | May 3, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.