Triple

T13354371
Position Surface form Disambiguated ID Type / Status
Subject Pachamama hill E318149 entity
Predicate locatedIn P40 FINISHED
Object Lake Titicaca E9032 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: Lake Titicaca | Statement: [Pachamama hill, locatedIn, Lake Titicaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Titicaca
Context triple: [Pachamama hill, locatedIn, Lake Titicaca]
  • A. Lake Titicaca chosen
    Lake Titicaca is a large, high-altitude freshwater lake in the Andes on the border of Peru and Bolivia, renowned as one of the world’s highest navigable lakes and a cradle of pre-Columbian civilizations.
  • B. Yahuarcocha Lake
    Yahuarcocha Lake is a scenic highland lake in northern Ecuador, known for its historical significance from Inca times and its proximity to the city of Ibarra.
  • C. Lake Junín
    Lake Junín is a large high-altitude Andean lake in central Peru, known for its unique wetland ecosystem and endemic bird species.
  • D. Chungará Lake
    Chungará Lake is a high-altitude Andean lake in northern Chile, renowned for its striking scenery beneath volcanoes and its location near the Bolivian border.
  • E. Uru Uru Lake
    Uru Uru Lake is a shallow, high-altitude saline lake in the Bolivian Altiplano, known for its ecological importance and vulnerability to pollution and water level fluctuations.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7306668288190ae8dc05ebadb4975 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:32 p.m.