Triple

T11942309
Position Surface form Disambiguated ID Type / Status
Subject GRU E284205 entity
Predicate isHubFor 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: [GRU, isHubFor, LATAM Brasil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LATAM Brasil
Context triple: [GRU, isHubFor, 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
    LATAM is a major Latin American airline group formed from the merger of LAN Airlines and TAM Airlines, operating an extensive network of domestic and international flights across the Americas and beyond.
  • C. LATAM Colombia
    LATAM Colombia is a Colombian airline that operates domestic and international flights as part of the LATAM Airlines Group.
  • D. LATAM Perú
    LATAM Perú is a major Peruvian airline and subsidiary of LATAM Airlines Group, operating domestic and international flights primarily from Lima.
  • E. 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.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440a5a9c8819086a94ad60c6881b8 completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.