Triple

T35917067
Position Surface form Disambiguated ID Type / Status
Subject Ford Focus WRC E1038776 entity
Predicate successor P78 FINISHED
Object Ford Fiesta RS WRC
The Ford Fiesta RS WRC is a World Rally Championship-specification rally car developed by M-Sport and Ford, based on the Ford Fiesta road car and campaigned at the top level of international rallying.
E2163798 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: Ford Fiesta RS WRC | Statement: [Ford Focus WRC, successor, Ford Fiesta RS WRC]
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: Ford Fiesta RS WRC
Triple: [Ford Focus WRC, successor, Ford Fiesta RS WRC]
Generated description
The Ford Fiesta RS WRC is a World Rally Championship-specification rally car developed by M-Sport and Ford, based on the Ford Fiesta road car and campaigned at the top level of international rallying.

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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aaa69e2c8190aad5087427023959 completed May 3, 2026, 8:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b6f5908c8190a38c82d49d5747f9 completed June 22, 2026, 4:15 a.m.
NEDg Description generation batch_6a38b892eab8819082e702f6245956ec completed June 22, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a38b8fa6b488190a574dd3e0075149a completed June 22, 2026, 4:24 a.m.
Created at: May 3, 2026, 4:07 p.m.