Triple

T6649580
Position Surface form Disambiguated ID Type / Status
Subject Exor N.V. E150785 entity
Predicate notableShareholding P14887 FINISHED
Object CNH Industrial N.V. E609723 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: CNH Industrial N.V. | Statement: [Exor N.V., notableShareholding, CNH Industrial N.V.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNH Industrial N.V.
Context triple: [Exor N.V., notableShareholding, CNH Industrial N.V.]
  • A. CNH Industrial chosen
    CNH Industrial is a global capital goods company known for manufacturing agricultural and construction equipment, commercial vehicles, and powertrain solutions.
  • B. CNH
    CNH is the offshore-traded version of China’s currency, the yuan, used primarily in international markets outside mainland China.
  • C. PSA Group
    PSA Group was a major French automotive manufacturer best known for producing Peugeot, Citroën, and DS vehicles before merging to form Stellantis.
  • D. Navistar International Corporation
    Navistar International Corporation is a major American manufacturer of commercial trucks, buses, and diesel engines, best known for its International brand of vehicles.
  • E. Daimler Truck AG
    Daimler Truck AG is a leading global commercial vehicle manufacturer specializing in trucks and buses, formed as an independent company after its separation from the former Daimler AG.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6d0a3a2408190bb7be4613f896bdc completed March 27, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79642508190a2e3810e347f2e93 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:01 p.m.