Triple

T8796849
Position Surface form Disambiguated ID Type / Status
Subject Rio de Janeiro–Galeão International Airport E209309 entity
Predicate servesAsFocusCityFor P1655 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: [Rio de Janeiro–Galeão International Airport, servesAsFocusCityFor, LATAM Brasil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LATAM Brasil
Context triple: [Rio de Janeiro–Galeão International Airport, servesAsFocusCityFor, 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.