Triple

T5053375
Position Surface form Disambiguated ID Type / Status
Subject Barking at Airplanes E113839 entity
Predicate hasPart P35 FINISHED
Object Bon Voyage E200915 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: Bon Voyage | Statement: [Barking at Airplanes, hasPart, Bon Voyage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bon Voyage
Context triple: [Barking at Airplanes, hasPart, Bon Voyage]
  • A. Bon Voyage chosen
    "Bon Voyage" is a song by the New Zealand rock band Oceanic.
  • B. Voyage
    Voyage is a 1963 Italian drama film directed by Vittorio De Sica, known for its exploration of complex romantic and emotional relationships.
  • C. Voyage
    Voyage is a 2021 studio album by Swedish pop group ABBA, marking their first new material in four decades and a major comeback in their career.
  • D. Bon Viatge
    Bon Viatge is a tram terminus station on Barcelona’s Trambaix light rail network, serving the Santa Coloma de Cervelló area.
  • E. A Fantastic Journey
    "A Fantastic Journey" is a major multimedia exhibition by Kenyan-American artist Wangechi Mutu that showcases her surreal, politically charged collages, sculptures, and video works exploring race, gender, and postcolonial identity.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd742a59448190918766c261cfa13d completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea486b394819082ea80694843b29e completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.