Triple

T636756
Position Surface form Disambiguated ID Type / Status
Subject Citroën E16638 entity
Predicate hasModel P2390 FINISHED
Object Citroën DS E16638 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 DS | Statement: [Citroën, hasModel, Citroën DS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën DS
Context triple: [Citroën, hasModel, Citroën DS]
  • A. Citroën chosen
    Citroën is a historic French automobile manufacturer known for its innovative engineering and distinctive car designs.
  • B. Peugeot
    Peugeot is a historic French automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles, now operating as a core brand within the multinational automotive group Stellantis.
  • C. Maserati
    Maserati is an Italian luxury automobile manufacturer renowned for its high-performance sports cars and grand tourers distinguished by elegant design and racing heritage.
  • D. Renault Master
    The Renault Master is a large light commercial van produced by the French manufacturer Renault, widely used in Europe for cargo and passenger transport.
  • E. Renault–Gitane
    Renault–Gitane was a dominant French professional cycling team of the late 1970s and early 1980s, known for nurturing multiple Grand Tour champions and pioneering modern team tactics.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee7fdbc8190858e42bb1bfdb3ff completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778daa0881908311823d8db543ae completed March 2, 2026, 11:42 a.m.
Created at: March 1, 2026, 7:35 p.m.