Triple
T35332004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penske Racing |
E1020345
|
entity |
| Predicate | hasChassisPartner |
P198272
|
FINISHED |
| Object | Dallara |
—
|
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: Dallara | Statement: [Penske Racing, hasChassisPartner, Dallara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChassisPartner Context triple: [Penske Racing, hasChassisPartner, Dallara]
-
A.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
B.
hasEnginePartner
Indicates a relationship where one engine is paired or associated with another engine as its partner in operation or configuration.
-
C.
hasChassisConstructorRole
Indicates that an entity plays the role responsible for constructing or assembling a chassis in relation to another entity.
-
D.
hasChassisFamily
Indicates that an entity belongs to or is associated with a particular chassis family or chassis type group.
-
E.
allowsChassisSupplier
Indicates that one entity grants permission or authorization for another entity to act as or use a specified chassis supplier.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
| PDg | Predicate description generation | batch_69fed6d90f2081909cd21e5e973a6b89 |
completed | May 9, 2026, 6:40 a.m. |
Created at: May 3, 2026, 4:03 p.m.