Triple

T19262642
Position Surface form Disambiguated ID Type / Status
Subject VAJB E481686 entity
Predicate IATACode P418 FINISHED
Object JLR NE NERFINISHED

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: JLR | Statement: [VAJB, IATACode, JLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JLR
Context triple: [VAJB, IATACode, JLR]
  • A. JLR chosen
    JLR is the IATA airport code for Dumna Airport, which serves the city of Jabalpur in the Indian state of Madhya Pradesh.
  • B. 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.
  • C. JLR D8 platform
    The JLR D8 platform is Jaguar Land Rover’s compact SUV architecture that underpins several of the company’s smaller crossover models.
  • D. Land Rover
    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.
  • E. LEVC
    LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8ac1a8819094309db4a2e6b163 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.