Triple

T6123715
Position Surface form Disambiguated ID Type / Status
Subject Pinto Martins – Fortaleza International Airport E136543 entity
Predicate hasHubAirline P423 FINISHED
Object LATAM Brasil E209312 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: LATAM Brasil | Statement: [Pinto Martins – Fortaleza International Airport, hasHubAirline, LATAM Brasil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LATAM Brasil
Context triple: [Pinto Martins – Fortaleza International Airport, hasHubAirline, LATAM Brasil]
  • A. LATAM Brasil chosen
    LATAM Brasil is a major Brazilian airline and subsidiary of LATAM Airlines Group, operating extensive domestic and international routes across South America and beyond.
  • B. LATAM Colombia
    LATAM Colombia is a Colombian airline that operates domestic and international flights as part of the LATAM Airlines Group.
  • C. LATAM Perú
    LATAM Perú is a major Peruvian airline and subsidiary of LATAM Airlines Group, operating domestic and international flights primarily from Lima.
  • D. LATAM Ecuador
    LATAM Ecuador is an Ecuadorian airline and regional subsidiary of LATAM Airlines Group, operating domestic and international flights primarily from its base in Guayaquil.
  • E. Brazil
    Brazil is the largest country in South America, known for its vast Amazon rainforest, diverse culture, and major cities like São Paulo and Rio de Janeiro.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c25976081909e0a40e07dff0b8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135abcef08190a899d7ba261ebb04 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.