Triple

T17349696
Position Surface form Disambiguated ID Type / Status
Subject Nissan Versa E421775 entity
Predicate alsoKnownAs P39 FINISHED
Object Nissan Tiida NE ONNED1

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: Nissan Tiida | Statement: [Nissan Versa, alsoKnownAs, Nissan Tiida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan Tiida
Context triple: [Nissan Versa, alsoKnownAs, Nissan Tiida]
  • A. Nissan Versa
    The Nissan Versa is a subcompact economy car known for its affordability, spacious interior, and fuel efficiency.
  • B. Nissan Sentra
    The Nissan Sentra is a compact sedan known for its affordability, fuel efficiency, and practicality as a popular everyday commuter car.
  • C. Nissan Tiida (selected markets, second generation) chosen
    The Nissan Tiida (second generation, in selected markets) is a compact hatchback and sedan line positioned as an affordable, practical family car with modern styling and fuel-efficient powertrains.
  • D. Nissan Altima
    The Nissan Altima is a popular mid-size sedan known for its balance of comfort, fuel efficiency, and everyday practicality.
  • E. Nissan Juke
    The Nissan Juke is a subcompact crossover SUV known for its distinctive, unconventional styling and sporty driving character.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955658b88190bce3fb2b5738afc6 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.