Triple

T4403977
Position Surface form Disambiguated ID Type / Status
Subject Mirafiori plant E93682 entity
Predicate partOf P40 FINISHED
Object Fiat production network E16981 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: Fiat production network | Statement: [Mirafiori plant, partOf, Fiat production network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiat production network
Context triple: [Mirafiori plant, partOf, Fiat production network]
  • A. Mirafiori plant
    The Mirafiori plant is a major automotive manufacturing complex in Turin, Italy, historically known as one of Europe’s largest and most important car factories.
  • B. Fiat chosen
    Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
  • C. Fiat CR series
    The Fiat CR series is a family of Italian biplane fighter aircraft developed by Fiat in the interwar and World War II era.
  • D. Conti
    Conti is an Italian surname most notably associated with Bill Conti, the American composer famous for his film scores such as the "Rocky" theme.
  • E. Fiat 242
    The Fiat 242 is a light commercial van produced by Italian manufacturer Fiat in collaboration with Citroën during the 1970s and early 1980s, commonly used for cargo and utility transport.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d1af608190ac06d50433cf24bb completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.