Triple

T4196434
Position Surface form Disambiguated ID Type / Status
Subject Halewood E89163 entity
Predicate majorEmployer P588 FINISHED
Object Jaguar Land Rover E316566 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: Jaguar Land Rover | Statement: [Halewood, majorEmployer, Jaguar Land Rover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaguar Land Rover
Context triple: [Halewood, majorEmployer, Jaguar Land Rover]
  • A. Jaguar Land Rover chosen
    Jaguar Land Rover is a British multinational automotive company known for designing and manufacturing luxury vehicles under the Jaguar and Land Rover brands.
  • B. MG Rover Group
    MG Rover Group was a British car manufacturer formed from the remnants of the Rover Group, known for producing MG and Rover-branded vehicles before its collapse in 2005.
  • C. Rover Group
    Rover Group was a major British automotive manufacturer best known for producing Rover, Mini, and Land Rover vehicles before its breakup in the late 20th and early 21st centuries.
  • D. Rolls-Royce Motors
    Rolls-Royce Motors was the British luxury automobile manufacturer that continued the production of Rolls-Royce cars after the original engineering company was restructured.
  • E. Alvis Vehicles
    Alvis Vehicles was a British manufacturer known for producing military armored vehicles and reconnaissance platforms for the British Army and international customers.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035f9f788190a4bcfeda646fbebf completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0ff2a08190ac7f89d306454ab8 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.