Triple

T16412939
Position Surface form Disambiguated ID Type / Status
Subject PZL Świdnik E398609 entity
Predicate partOf P40 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: [PZL Świdnik, partOf, Leonardo S.p.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardo S.p.A.
Context triple: [PZL Świdnik, partOf, 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. Finmeccanica
    Finmeccanica was a major Italian aerospace, defense, and security conglomerate, later rebranded as Leonardo S.p.A.
  • E. 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.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32875bad08190bc3e2218df8c1b07 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c68b7408190a9612a57f146dc30 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.