Triple

T25467293
Position Surface form Disambiguated ID Type / Status
Subject Alain Prost E638209 entity
Predicate racedWithEngineSupplier P17328 FINISHED
Object TAG-Porsche
TAG-Porsche was a highly successful turbocharged Formula One engine program of the 1980s, developed by Porsche and branded by Techniques d'Avant Garde, that powered McLaren to multiple championships.
 E1680193 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: TAG-Porsche | Statement: [Alain Prost, racedWithEngineSupplier, TAG-Porsche]
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: TAG-Porsche
Triple: [Alain Prost, racedWithEngineSupplier, TAG-Porsche]
Generated description
TAG-Porsche was a highly successful turbocharged Formula One engine program of the 1980s, developed by Porsche and branded by Techniques d'Avant Garde, that powered McLaren to multiple championships.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: racedWithEngineSupplier
Context triple: [Alain Prost, racedWithEngineSupplier, TAG-Porsche]
  • A. racedForManufacturer
    Indicates that an individual competed in races as a driver representing a particular manufacturer.
  • B. engineSupplier chosen
    Indicates a relationship where one entity supplies or provides engines to another entity.
  • C. racedAs
    Indicates that one entity participated in a race or competition under the identity, name, or classification of another entity.
  • D. initiallyRacedWith
    Indicates that two entities participated in the same race or competitive event at the beginning of a relevant period or career.
  • E. raceComponent
    Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
  • F. None of above.

Provenance (6 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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f74e449c8190afaa3c05496ed598 completed May 2, 2026, 1:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089b8f6d0819087635c86f1af8f9e completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108b7bc4608190ac2249efc289c793 completed May 22, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_6a108c6c895481909b19e0dab60905ad completed May 22, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69f468421ba08190880eac99135e5970 completed May 1, 2026, 8:45 a.m.
Created at: April 21, 2026, 2:15 p.m.