Triple

T9234934
Position Surface form Disambiguated ID Type / Status
Subject Range Rover E221911 entity
Predicate brand P1500 FINISHED
Object Land Rover E707045 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: Land Rover | Statement: [Range Rover, brand, Land Rover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Land Rover
Context triple: [Range Rover, brand, Land Rover]
  • A. Land Rover chosen
    Land Rover is a British automotive brand renowned for its rugged, luxury four-wheel-drive vehicles and long association with off-road exploration and adventure.
  • B. Range Rover
    Range Rover is a luxury SUV line from Land Rover known for its off-road capability, upscale interiors, and status-symbol appeal.
  • C. Land Rover Defender
    The Land Rover Defender is a British four-wheel-drive off-road SUV renowned for its rugged durability, iconic boxy design, and strong off-road capability.
  • D. Jaguar Land Rover
    Jaguar Land Rover is a British multinational automotive company known for designing and manufacturing luxury vehicles under the Jaguar and Land Rover brands.
  • E. 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.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1cca0c8190bf587f54236c9e45 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1c5c654819084a9f0e8fce75d13 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:29 p.m.