Triple

T8489315
Position Surface form Disambiguated ID Type / Status
Subject Iveco E200926 entity
Predicate parentOrganization P254 FINISHED
Object CNH Industrial 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 | Statement: [Iveco, parentOrganization, CNH Industrial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNH Industrial
Context triple: [Iveco, parentOrganization, CNH Industrial]
  • 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. 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.
  • D. Deutz AG
    Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
  • E. 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.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5581d308190b47d76dd49a36529 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a4e5be48190b5c598123ef75f8b completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:13 p.m.