Triple

T21888064
Position Surface form Disambiguated ID Type / Status
Subject Nissan B platform E540465 entity
Predicate usedBy P260 FINISHED
Object Mahindra 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: Mahindra | Statement: [Nissan B platform, usedBy, Mahindra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahindra
Context triple: [Nissan B platform, usedBy, Mahindra]
  • A. Mahindra Group chosen
    Mahindra Group is a major Indian multinational conglomerate with diversified interests spanning automobiles, aerospace, agribusiness, IT services, finance, and more.
  • B. Tata Motors
    Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
  • C. Mahindra Truck and Bus
    Mahindra Truck and Bus is an Indian commercial vehicle manufacturer under the Mahindra Group, producing a range of trucks and buses for domestic and export markets.
  • D. Tata Industries Limited
    Tata Industries Limited is a key investment and holding company of the Tata Group, focused on promoting and incubating new business ventures and technologies within the conglomerate.
  • E. Maruti Suzuki
    Maruti Suzuki is India’s largest automobile manufacturer, best known for producing affordable, mass-market passenger vehicles that dominate the country’s car market.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ee5f1c8190b8c6c431039eb8c9 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.