Triple

T8055740
Position Surface form Disambiguated ID Type / Status
Subject Hethel Engineering Centre E187994 entity
Predicate near P350 FINISHED
Object Lotus Cars headquarters 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 headquarters | Statement: [Hethel Engineering Centre, near, Lotus Cars headquarters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotus Cars headquarters
Context triple: [Hethel Engineering Centre, near, Lotus Cars headquarters]
  • 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. Lotus
    Lotus is a pioneering software company best known for its Lotus 1-2-3 spreadsheet program, which was a dominant application in the early days of personal computing.
  • D. Lotus test track
    Lotus test track is the private automotive proving ground used by Lotus Cars for developing and testing its sports cars and racing vehicles.
  • E. McLaren Automotive
    McLaren Automotive is a British high-performance sports car and supercar manufacturer renowned for its Formula 1–derived engineering and cutting-edge 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa16804819094926ff2ff053c80 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5725c5308190b2eb565902124b10 completed March 31, 2026, 11:22 p.m.
Created at: March 30, 2026, 5:25 p.m.