Triple

T16961035
Position Surface form Disambiguated ID Type / Status
Subject LATAM Perú E411426 entity
Predicate formerName P65 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: [LATAM Perú, formerName, LAN Perú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAN Perú
Context triple: [LATAM Perú, formerName, 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. Carabayllo, Peru
    Carabayllo is a populous district in the northern part of Lima, Peru, known for its rapidly growing urban neighborhoods and mix of residential and industrial areas.
  • C. El Paraíso (Peru)
    El Paraíso (Peru) is an ancient preceramic archaeological complex near Lima, notable as one of the earliest large-scale monumental centers in the central Andes.
  • D. Cono Oeste of Lima
    Cono Oeste of Lima is a western metropolitan sector of Peru’s capital that groups several coastal and urban districts, including San Miguel, for planning and administrative purposes.
  • E. 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.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.