Triple

T5486933
Position Surface form Disambiguated ID Type / Status
Subject LAN Airlines E123604 entity
Predicate notableSubsidiary P9212 FINISHED
Object LAN Perú E86736 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: LAN Perú | Statement: [LAN Airlines, notableSubsidiary, LAN Perú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAN Perú
Context triple: [LAN Airlines, notableSubsidiary, LAN Perú]
  • A. LATAM Perú chosen
    LATAM Perú is a major Peruvian airline and subsidiary of LATAM Airlines Group, operating domestic and international flights primarily from Lima.
  • B. Pasco, Peru
    Pasco, Peru is a city in central Peru known for its high-altitude location in the Andes and its historical ties to mining and regional commerce.
  • C. Free Peru (former)
    Free Peru (former) is a left-wing Peruvian political party known for its Marxist-inspired platform and for having been the party of President Pedro Castillo and, previously, Dina Boluarte.
  • D. Bagua, Peru
    Bagua is a town in northern Peru’s Amazonas region, known as a commercial and transport hub near the Marañón River and the Andean–Amazonian transition zone.
  • E. Cono Sur of Lima
    Cono Sur of Lima is a southern sector of Peru’s capital city that encompasses several coastal and inland districts, including Chorrillos, and is known for its mix of urban neighborhoods and growing residential areas.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92639b3481908845c280d334117f completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48aa12708190add69c5fd51d161d completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:10 p.m.