Triple
T16420306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DS Performance |
E398798
|
entity |
| Predicate | roleInFormulaE |
P123362
|
FINISHED |
| Object | manufacturer |
—
|
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: manufacturer | Statement: [DS Performance, roleInFormulaE, manufacturer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFormulaE Context triple: [DS Performance, roleInFormulaE, manufacturer]
-
A.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
B.
enteredFormulaOne
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
-
C.
motorsportHomologationRole
Indicates the specific role or function an entity has within the homologation (official approval and certification) process in motorsport.
-
D.
roleInTourDeFrance
Indicates the specific capacity or function an entity has within the context of the Tour de France (e.g., rider, team, official, or support role).
-
E.
hasMotorsportInvolvement
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f5c1bc8190a679f35bd6c0bc97 |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:09 a.m.