Triple

T19332233
Position Surface form Disambiguated ID Type / Status
Subject DH-4 E483524 entity
Predicate originalManufacturer P13567 FINISHED
Object Airco 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: Airco | Statement: [DH-4, originalManufacturer, Airco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airco
Context triple: [DH-4, originalManufacturer, Airco]
  • A. Airco chosen
    Airco was a British aircraft manufacturer best known for producing military aircraft during World War I, including the successful DH series of biplanes.
  • B. Power Jets Ltd
    Power Jets Ltd was a pioneering British company founded to develop and commercialize Frank Whittle’s early jet engine designs, playing a crucial role in the birth of jet propulsion.
  • C. Vickers
    Vickers is a surname of English origin borne by various notable individuals across fields such as entertainment, industry, and the military.
  • D. Vickers-Armstrongs
    Vickers-Armstrongs was a major British engineering and armaments company best known for producing military aircraft, ships, and tanks during the first half of the 20th century.
  • E. Avro Ltd
    Avro Ltd was a pioneering British aircraft manufacturer best known for designing iconic military aircraft such as the Avro Lancaster bomber.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e616422fa08190bf4bde4312ec7cf3 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.