Triple

T16336197
Position Surface form Disambiguated ID Type / Status
Subject P80 E396684 entity
Predicate manufacturer P490 FINISHED
Object Avio E347518 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: Avio | Statement: [P80, manufacturer, Avio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avio
Context triple: [P80, manufacturer, Avio]
  • A. 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.
  • B. Avio S.p.A. chosen
    Avio S.p.A. is an Italian aerospace company specializing in the design, production, and maintenance of aircraft and space propulsion systems.
  • C. AnsaldoBreda
    AnsaldoBreda is an Italian rolling stock manufacturer known for producing trains, trams, and metro vehicles for rail systems worldwide.
  • D. Agusta
    Agusta is an Italian aerospace company known for manufacturing helicopters and aircraft, often under license from other major aviation firms.
  • E. Fiat Aviazione
    Fiat Aviazione was the aviation division of the Italian manufacturer Fiat, responsible for designing and producing military and civil aircraft, particularly during the early to mid-20th century.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e3af7881908a3116c41ed69115 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002dabc89481908005f5b2060abded completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.