Triple

T3973746
Position Surface form Disambiguated ID Type / Status
Subject Tata family E85591 entity
Predicate associatedWith P37 FINISHED
Object Tata Group E403509 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 Group | Statement: [Tata family, associatedWith, Tata Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata Group
Context triple: [Tata family, associatedWith, Tata Group]
  • A. Tata Group chosen
    Tata Group is a major Indian multinational conglomerate with diverse businesses spanning sectors such as steel, automobiles, information technology, telecommunications, and hospitality.
  • 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. Reliance Industries Limited
    Reliance Industries Limited is a major Indian multinational conglomerate with leading businesses in energy, petrochemicals, retail, and telecommunications.
  • D. Larsen & Toubro
    Larsen & Toubro is a major Indian multinational conglomerate known for its leadership in engineering, construction, manufacturing, and technology services.
  • E. Adani Group
    Adani Group is a major Indian multinational conglomerate with diversified interests in ports, logistics, energy, and infrastructure.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef99837cc8190b8b2464707f5e334 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c443e208190a8bf83ec642a142e completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:32 p.m.