Triple

T21319247
Position Surface form Disambiguated ID Type / Status
Subject Handley Page Herald E525565 entity
Predicate operator P179 FINISHED
Object Aviaco 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: Aviaco | Statement: [Handley Page Herald, operator, Aviaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aviaco
Context triple: [Handley Page Herald, operator, Aviaco]
  • A. Aviaco chosen
    Aviaco was a Spanish airline that operated domestic and regional flights from the mid-20th century until its integration into Iberia.
  • B. Lauda Air
    Lauda Air was an Austrian airline established by Formula One champion Niki Lauda that operated scheduled and charter flights, later becoming part of Austrian Airlines.
  • C. Avior Airlines
    Avior Airlines is a Venezuelan airline that operates domestic and international passenger flights, primarily connecting cities within Venezuela to destinations across the Americas.
  • D. Union Airways
    Union Airways was an early South African airline that later became part of the national carrier, South African Airways.
  • E. Kel Air
    Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ecf12248190bb4172ad7416775e completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:38 p.m.