Triple

T13561916
Position Surface form Disambiguated ID Type / Status
Subject AgustaWestland helicopter family E323928 entity
Predicate developedBy P73 FINISHED
Object Agusta E313895 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: Agusta | Statement: [AgustaWestland helicopter family, developedBy, Agusta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agusta
Context triple: [AgustaWestland helicopter family, developedBy, Agusta]
  • A. Agusta chosen
    Agusta is an Italian aerospace company known for manufacturing helicopters and aircraft, often under license from other major aviation firms.
  • B. AnsaldoBreda
    AnsaldoBreda is an Italian rolling stock manufacturer known for producing trains, trams, and metro vehicles for rail systems worldwide.
  • C. SIAI-Marchetti
    SIAI-Marchetti was an Italian aircraft manufacturer known for producing light military trainers and aerobatic aircraft.
  • D. Piaggio
    Piaggio is an Italian manufacturer best known for producing scooters, motorcycles, and light commercial vehicles, including the iconic Vespa.
  • E. Caproni
    Caproni was an Italian aircraft manufacturer renowned for producing military and civilian airplanes, 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff5219081909cf60423e79d278f completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dad601481908de5f266f01f3f49 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.