Triple

T14642339
Position Surface form Disambiguated ID Type / Status
Subject Qantas at War E343756 entity
Predicate precedes P97 FINISHED
Object Wings to the World E343757 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: Wings to the World | Statement: [Qantas at War, precedes, Wings to the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wings to the World
Context triple: [Qantas at War, precedes, Wings to the World]
  • A. Wings to the World chosen
    Wings to the World is a book by Australian aviation pioneer Hudson Fysh that chronicles the early development and global expansion of Qantas Airways.
  • B. Wings at the Speed of Sound
    Wings at the Speed of Sound is a 1976 studio album by Paul McCartney and Wings that blends rock and pop styles and features contributions from multiple band members on lead vocals.
  • C. Wings
    Wings is a 1927 silent World War I aviation film that became the first movie ever to win the Academy Award for Best Picture.
  • D. Wings
    Wings is a 1966 Soviet drama film directed by Larisa Shepitko that explores the postwar life and inner struggles of a former World War II fighter pilot turned school principal.
  • E. Wings
    Wings is an American sitcom that aired in the 1990s, centered on the lives and misadventures of staff at a small regional airline on Nantucket Island.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.