Triple

T35890460
Position Surface form Disambiguated ID Type / Status
Subject Cosworth DFR engine E1037766 entity
Predicate intendedUse P79 FINISHED
Object Group C
Group C was a sports car racing category introduced by the FIA in the early 1980s, best known for its fuel-limited prototype endurance racers that competed in events like the World Sportscar Championship and the 24 Hours of Le Mans.
E2160500 NE 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: Group C | Statement: [Cosworth DFR engine, intendedUse, Group C]
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: Group C
Triple: [Cosworth DFR engine, intendedUse, Group C]
Generated description
Group C was a sports car racing category introduced by the FIA in the early 1980s, best known for its fuel-limited prototype endurance racers that competed in events like the World Sportscar Championship and the 24 Hours of Le Mans.

Provenance (5 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_69f76e1f4d748190bb55594d8441d70e completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3951e08190ac553bf8b0c2e7bd completed May 3, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4fc7efc8190900d279c9f5cfaff completed June 22, 2026, 2:59 a.m.
NEDg Description generation batch_6a38a5abc604819084de021a2c2262a3 completed June 22, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_6a38a63caecc8190a4ac4eb8af4bb18b completed June 22, 2026, 3:04 a.m.
Created at: May 3, 2026, 4:06 p.m.