Triple

T4934875
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 2008 E110787 entity
Predicate relatedModel P37 FINISHED
Object Citroën C4 E83163 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: Citroën C4 | Statement: [Peugeot 2008, relatedModel, Citroën C4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën C4
Context triple: [Peugeot 2008, relatedModel, Citroën C4]
  • A. Citroën C4 chosen
    The Citroën C4 is a compact family car produced by the French automaker Citroën, known for its distinctive styling and comfort-focused design.
  • B. Citroën C3
    The Citroën C3 is a supermini car produced by the French manufacturer Citroën, known for its distinctive styling and practical, city-friendly design.
  • C. Citroën C4 Picasso
    The Citroën C4 Picasso is a compact multi-purpose vehicle (MPV) known for its distinctive styling, spacious and versatile interior, and family-oriented design.
  • D. Citroën C5
    The Citroën C5 is a mid-size family car produced by the French manufacturer Citroën, known for its comfortable ride and distinctive styling.
  • E. Citroën Xsara
    The Citroën Xsara is a compact family car produced by the French manufacturer Citroën from the late 1990s to the mid-2000s, known for its practical hatchback and estate variants and its success in World Rally Championship competition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7066ed548190a76a9559f90e3869 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b74c748190a995a26f45b79ee9 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.