Triple

T22990788
Position Surface form Disambiguated ID Type / Status
Subject SBFZ E572040 entity
Predicate servesAsFocusCityFor P1655 FINISHED
Object LATAM Brasil 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: LATAM Brasil | Statement: [SBFZ, servesAsFocusCityFor, LATAM Brasil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LATAM Brasil
Context triple: [SBFZ, 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
    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 Paraguay
    LATAM Paraguay is a Paraguayan airline that operates regional and international flights as part of the LATAM Airlines Group.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182ee3afc819099fbc6bef0b83bd5 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.