Triple

T20831992
Position Surface form Disambiguated ID Type / Status
Subject Aurora Airlines E512851 entity
Predicate callsign P1565 FINISHED
Object AURORA 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: AURORA | Statement: [Aurora Airlines, callsign, AURORA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AURORA
Context triple: [Aurora Airlines, callsign, AURORA]
  • A. AURORA chosen
    AURORA is the radio callsign used by the Russian airline Smartavia for its flight operations and air traffic communications.
  • B. Aurora
    Aurora is a residential neighborhood located within the Algiers area of New Orleans, Louisiana.
  • C. Aurora
    Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
  • D. Aurora
    Aurora is an autonomous vehicle technology company focused on developing self-driving systems for cars, trucks, and other vehicles.
  • E. Aurora
    Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3224e788190bfc4d3dcbaa674a7 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.