Triple

T13227776
Position Surface form Disambiguated ID Type / Status
Subject smart fortwo E314925 entity
Predicate variant P4680 FINISHED
Object smart fortwo coupé E314925 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: smart fortwo coupé | Statement: [smart fortwo, variant, smart fortwo coupé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: smart fortwo coupé
Context triple: [smart fortwo, variant, smart fortwo coupé]
  • A. smart fortwo chosen
    The smart fortwo is a compact two-seat city car known for its ultra-short length, easy parking, and fuel-efficient urban driving.
  • B. smart EQ fortwo
    The smart EQ fortwo is a compact, fully electric city car designed for urban mobility, offering agile handling and zero-emission driving in a two-seater format.
  • C. Renault Twingo
    The Renault Twingo is a popular city car introduced in the early 1990s, known for its compact size, distinctive styling, and practical urban-focused design.
  • D. Citroën C2
    The Citroën C2 is a small three-door supermini car produced by the French manufacturer Citroën in the 2000s, known for its compact dimensions and youthful, sporty styling.
  • E. Peugeot Rifter
    The Peugeot Rifter is a compact multi-purpose vehicle (MPV) and leisure activity vehicle designed for practicality and family use, offering flexible seating and ample cargo space.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:21 p.m.