Triple

T16608695
Position Surface form Disambiguated ID Type / Status
Subject Tata Group E403509 entity
Predicate hasSubsidiary P254 FINISHED
Object Tata Motors E316567 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: Tata Motors | Statement: [Tata Group, hasSubsidiary, Tata Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata Motors
Context triple: [Tata Group, hasSubsidiary, Tata Motors]
  • A. Tata Motors chosen
    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.
  • B. Tata Group
    Tata Group is a major Indian multinational conglomerate with diverse businesses spanning sectors such as steel, automobiles, information technology, telecommunications, and hospitality.
  • C. Tata Sons
    Tata Sons is the principal holding company and promoter of the Tata Group, one of India’s largest and oldest multinational conglomerates.
  • D. Tata
    Tata is a deity from ancient Illyrian pagan religion, likely associated with primordial or ancestral divine functions within that pantheon.
  • E. Tata
    Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36094920881908051eb0a52e08440 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aa79408190b395d4cd9c6c1cb7 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.