Triple

T9139532
Position Surface form Disambiguated ID Type / Status
Subject ATR E219287 entity
Predicate parentCompany P254 FINISHED
Object Leonardo S.p.A. E11314 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: Leonardo S.p.A. | Statement: [ATR, parentCompany, Leonardo S.p.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardo S.p.A.
Context triple: [ATR, parentCompany, Leonardo S.p.A.]
  • A. Leonardo S.p.A. chosen
    Leonardo S.p.A. is a major Italian aerospace, defense, and security company that designs and manufactures military aircraft, helicopters, electronics, and related systems.
  • B. Vinci SA
    Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
  • C. Giovanni Agnelli B.V.
    Giovanni Agnelli B.V. is a Dutch holding company representing the Agnelli family’s interests and serving as the main ownership vehicle behind Exor N.V. and its industrial and financial investments.
  • D. Montecatini company
    Montecatini company was a major Italian chemical and industrial conglomerate, historically significant for its role in the development of modern plastics and synthetic materials.
  • E. Salini Impregilo
    Salini Impregilo is a major Italian construction and civil engineering company known for building large-scale infrastructure projects such as dams, highways, and railways around the world.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f129c08190b6f053984cb7363f completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0480458348190b0b87f7a66d85b87 completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:19 p.m.