Triple

T32655391
Position Surface form Disambiguated ID Type / Status
Subject Aston Martin Racing E834846 entity
Predicate formerCar P200496 FINISHED
Object Aston Martin DBR9
The Aston Martin DBR9 is a GT1-class racing car developed from the Aston Martin DB9 road car, renowned for its success in endurance events like the 24 Hours of Le Mans in the mid-2000s.
 E2018272 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aston Martin DBR9
Triple: [Aston Martin Racing, formerCar, Aston Martin DBR9]
Generated description
The Aston Martin DBR9 is a GT1-class racing car developed from the Aston Martin DB9 road car, renowned for its success in endurance events like the 24 Hours of Le Mans in the mid-2000s.
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 (7 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.
NED1 Entity disambiguation (via context triple) batch_6a349eb0aa288190b54e4fcda72d194e completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f9787f8819080cd588dfeb2f8a7 completed June 19, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a34a063b1c481909ae8f34b0988b91a completed June 19, 2026, 1:50 a.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.