Triple

T16179380
Position Surface form Disambiguated ID Type / Status
Subject Nanjing Automobile E392646 entity
Predicate brand P1500 FINISHED
Object IVECO (joint venture) E200926 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: IVECO (joint venture) | Statement: [Nanjing Automobile, brand, IVECO (joint venture)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IVECO (joint venture)
Context triple: [Nanjing Automobile, brand, IVECO (joint venture)]
  • A. Iveco chosen
    Iveco is an Italian multinational company that designs and manufactures commercial vehicles, military vehicles, and diesel engines.
  • B. Iveco Daily
    The Iveco Daily is a versatile light commercial vehicle widely used in Europe and beyond for cargo transport, passenger shuttles, and specialized conversions such as campervans and emergency service vehicles.
  • C. Renault Trucks
    Renault Trucks is a French commercial vehicle manufacturer known for producing a wide range of trucks and heavy-duty vehicles for distribution, construction, and long-haul transport.
  • D. DAF Trucks
    DAF Trucks is a Dutch manufacturer of commercial vehicles and heavy-duty trucks known for its reliable long-haul and distribution trucks across Europe and beyond.
  • E. GAZ Group
    GAZ Group is a major Russian automotive manufacturer best known for producing commercial vehicles, 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.