Triple

T1666997
Position Surface form Disambiguated ID Type / Status
Subject Lotus Elise E36034 entity
Predicate manufacturer P490 FINISHED
Object Lotus Cars E187987 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: Lotus Cars | Statement: [Lotus Elise, manufacturer, Lotus Cars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotus Cars
Context triple: [Lotus Elise, manufacturer, Lotus Cars]
  • A. Lotus Cars chosen
    Lotus Cars is a British sports car manufacturer renowned for its lightweight, high-performance vehicles and engineering innovation.
  • B. Lotus
    The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
  • C. Bentley
    Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
  • D. Ferrari
    Ferrari is an Italian luxury sports car manufacturer renowned for its high-performance vehicles, racing heritage, and iconic prancing horse emblem.
  • E. 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.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adc57cc8190b270004c363768e3 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8abe91bc8190ba363e1f7fd07b9f completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.