Triple

T18985094
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Heavy Industries (India) E464535 entity
Predicate oversees P46 FINISHED
Object Scooters India Limited NE NERFINISHED

How this triple was built (3 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: Scooters India Limited | Statement: [Ministry of Heavy Industries (India), oversees, Scooters India Limited]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scooters India Limited
Context triple: [Ministry of Heavy Industries (India), oversees, Scooters India Limited]
  • A. Indus Motor Company Limited
    Indus Motor Company Limited is a major Pakistani automobile manufacturer and assembler best known for producing Toyota vehicles for the local market.
  • B. Yantra India Limited
    Yantra India Limited is an Indian state-owned defence manufacturing company formed from the corporatization of the Ordnance Factory Board, specializing in the production of arms, ammunition, and related equipment.
  • C. 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.
  • D. Tata Advanced Systems
    Tata Advanced Systems is an Indian aerospace and defense manufacturing company specializing in high-technology solutions and strategic partnerships for military and civilian applications.
  • E. Kirloskar Group
    Kirloskar Group is a major Indian industrial conglomerate known for its diversified businesses in engineering, manufacturing, and infrastructure sectors.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Scooters India Limited
Target entity description: Scooters India Limited is an Indian public sector automobile company known for manufacturing scooters and three-wheelers, particularly for passenger and cargo transport.
  • A. Indus Motor Company Limited
    Indus Motor Company Limited is a major Pakistani automobile manufacturer and assembler best known for producing Toyota vehicles for the local market.
  • B. Yantra India Limited
    Yantra India Limited is an Indian state-owned defence manufacturing company formed from the corporatization of the Ordnance Factory Board, specializing in the production of arms, ammunition, and related equipment.
  • C. 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.
  • D. Tata Advanced Systems
    Tata Advanced Systems is an Indian aerospace and defense manufacturing company specializing in high-technology solutions and strategic partnerships for military and civilian applications.
  • E. Kirloskar Group
    Kirloskar Group is a major Indian industrial conglomerate known for its diversified businesses in engineering, manufacturing, and infrastructure sectors.
  • F. None of above. chosen

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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65f7f08819088f56e8e030851b1 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.