Triple
T35758196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosworth DFV engine |
E1033501
|
entity |
| Predicate | usedInChampionships |
P198403
|
FINISHED |
| Object | FIA Formula One World Championship |
—
|
NE NERFINISHED |
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: FIA Formula One World Championship | Statement: [Cosworth DFV engine, usedInChampionships, FIA Formula One World Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInChampionships Context triple: [Cosworth DFV engine, usedInChampionships, FIA Formula One World Championship]
-
A.
roleInChampionships
Indicates the specific capacity or function an entity has in relation to one or more championship events.
-
B.
championshipHeld
Indicates that a championship event took place or was hosted at a particular time and/or location.
-
C.
championshipHeldIn
Indicates that a particular championship event takes place or is hosted in a specific location.
-
D.
conferenceChampionshipsHeldIn
Indicates that a particular conference’s championship events are held at a specified location or venue.
-
E.
championshipHeldAs
Indicates that a particular championship title was held under a specific designation, category, or status.
- F. None of above. chosen
Provenance (4 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
| PDg | Predicate description generation | batch_69fee0b03a0c81909117dc5915d77295 |
completed | May 9, 2026, 7:22 a.m. |
Created at: May 3, 2026, 4:06 p.m.