Triple

T1959676
Position Surface form Disambiguated ID Type / Status
Subject Aeromar E42352 entity
Predicate callsign P1565 FINISHED
Object TRANS-AEROMAR E42352 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: TRANS-AEROMAR | Statement: [Aeromar, callsign, TRANS-AEROMAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRANS-AEROMAR
Context triple: [Aeromar, callsign, TRANS-AEROMAR]
  • A. Aeromar chosen
    Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
  • B. Mahan Air
    Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
  • C. TAR Aerolíneas
    TAR Aerolíneas is a Mexican regional airline that operates domestic routes connecting medium-sized cities across the country.
  • D. Japan Transocean Air
    Japan Transocean Air is a Japanese regional airline that primarily operates domestic routes, especially serving the Okinawa region.
  • E. Volaris
    Volaris is a Mexican low-cost airline that operates domestic and international flights, primarily serving routes across Mexico, the United States, and Central America.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37f737881908130bb828affcaa2 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbcea048819091d705095f0d3f68 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.