Triple

T21089214
Position Surface form Disambiguated ID Type / Status
Subject Aermacchi M-346 Master E519587 entity
Predicate formerManufacturer P25149 FINISHED
Object Alenia Aermacchi NE NERFINISHED

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: Alenia Aermacchi | Statement: [Aermacchi M-346 Master, formerManufacturer, Alenia Aermacchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alenia Aermacchi
Context triple: [Aermacchi M-346 Master, formerManufacturer, Alenia Aermacchi]
  • A. Alenia Aeronautica chosen
    Alenia Aeronautica was an Italian aerospace company known for designing and producing military and civilian aircraft before being merged into Leonardo’s aeronautics division.
  • B. AnsaldoBreda
    AnsaldoBreda is an Italian rolling stock manufacturer known for producing trains, trams, and metro vehicles for rail systems worldwide.
  • C. Alenia Spazio
    Alenia Spazio is an Italian aerospace company specializing in the design and manufacture of space systems, satellites, and modules for international space programs.
  • D. Avio S.p.A.
    Avio S.p.A. is an Italian aerospace company specializing in the design, production, and maintenance of aircraft and space propulsion systems.
  • E. Avio Aero
    Avio Aero is an Italian aerospace company specializing in the design, production, and maintenance of aircraft engines and gas turbines for civil and military applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094dd65481909391ed74115afc23 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.