Triple

T16608726
Position Surface form Disambiguated ID Type / Status
Subject Tata Group E403509 entity
Predicate hasPart P35 FINISHED
Object Tata Trusts E407930 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 Trusts | Statement: [Tata Group, hasPart, Tata Trusts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata Trusts
Context triple: [Tata Group, hasPart, Tata Trusts]
  • A. Tata Trusts chosen
    Tata Trusts is one of India’s oldest and largest philanthropic organizations, funding wide-ranging initiatives in areas such as education, healthcare, rural development, and social innovation.
  • B. Tata Sons
    Tata Sons is the principal holding company and promoter of the Tata Group, one of India’s largest and oldest multinational conglomerates.
  • C. Tata International
    Tata International is a global trading and distribution company of the Tata Group, operating across sectors such as metals, minerals, leather, and agri-products in numerous international markets.
  • D. Tata Capital
    Tata Capital is a leading Indian financial services company offering a wide range of lending, investment, and advisory solutions to retail, corporate, and institutional customers.
  • E. Tata Group
    Tata Group is a major Indian multinational conglomerate with diverse businesses spanning sectors such as steel, automobiles, information technology, telecommunications, and hospitality.
  • 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_6a00a50bcbe88190a424a361ee885b0c completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:17 a.m.