Triple

T636759
Position Surface form Disambiguated ID Type / Status
Subject Citroën E16638 entity
Predicate hasModel P2390 FINISHED
Object Citroën SM 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 SM | Statement: [Citroën, hasModel, Citroën SM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën SM
Context triple: [Citroën, hasModel, Citroën SM]
  • A. Citroën CX
    The Citroën CX is a large executive car produced by the French manufacturer Citroën from the mid-1970s to the early 1990s, renowned for its aerodynamic design and advanced hydropneumatic suspension.
  • B. Citroën Traction Avant
    The Citroën Traction Avant is a pioneering French automobile introduced in the 1930s, renowned for its innovative front-wheel drive, unitary body construction, and advanced engineering for its time.
  • C. Citroën chosen
    Citroën is a historic French automobile manufacturer known for its innovative engineering and distinctive car designs.
  • D. 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.
  • E. Lotus Elise
    The Lotus Elise is a lightweight, mid-engined British sports car renowned for its agile handling and minimalist, driver-focused design.
  • 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_69a58a6eeb688190b950e3c4fb5962f8 completed March 2, 2026, 1:02 p.m.
Created at: March 1, 2026, 7:35 p.m.