Triple

T16608713
Position Surface form Disambiguated ID Type / Status
Subject Tata Group E403509 entity
Predicate hasSubsidiary P254 FINISHED
Object Tata Hitachi Construction Machinery E811082 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 Hitachi Construction Machinery | Statement: [Tata Group, hasSubsidiary, Tata Hitachi Construction Machinery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata Hitachi Construction Machinery
Context triple: [Tata Group, hasSubsidiary, Tata Hitachi Construction Machinery]
  • A. Hitachi Construction Machinery chosen
    Hitachi Construction Machinery is a global manufacturer of construction and mining equipment, known for its excavators, wheel loaders, and heavy machinery solutions.
  • B. Mahindra Tractors
    Mahindra Tractors is a leading Indian agricultural machinery manufacturer and one of the world’s largest tractor producers, known for its durable and affordable farm equipment.
  • C. Tata Daewoo Commercial Vehicle Company
    Tata Daewoo Commercial Vehicle Company is a South Korean manufacturer of heavy and medium-duty commercial vehicles owned by India’s Tata Motors.
  • D. Japanese crane company Tadano
    Japanese crane company Tadano is a leading global manufacturer of lifting equipment and mobile cranes, known for supplying heavy machinery to major construction and restoration projects worldwide.
  • E. Hino Motors, Ltd.
    Hino Motors, Ltd. is a Japanese manufacturer specializing in commercial vehicles and diesel engines, known particularly for its trucks and buses.
  • 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.