Triple
T32655391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston Martin Racing |
E834846
|
entity |
| Predicate | formerCar |
P200496
|
FINISHED |
| Object | Aston Martin DBR9 |
—
|
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: Aston Martin DBR9 | Statement: [Aston Martin Racing, formerCar, Aston Martin DBR9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCar Context triple: [Aston Martin Racing, formerCar, Aston Martin DBR9]
-
A.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
B.
formerCarCategories
Indicates that an entity previously belonged to certain car categories but no longer does so.
-
C.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
D.
formerTransport
Indicates that an entity previously served as a means of transportation for another entity but no longer does so.
-
E.
previousCarModel
Indicates that one car model directly precedes another in a chronological or generational sequence.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69ff90b5b98881909620033d78e4a9b8 |
completed | May 9, 2026, 7:53 p.m. |
Created at: May 1, 2026, 1:08 a.m.