Triple

T2754210
Position Surface form Disambiguated ID Type / Status
Subject Puno Region E61061 entity
Predicate contains P35 FINISHED
Object Yunguyo Province E295468 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: Yunguyo Province | Statement: [Puno Region, contains, Yunguyo Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yunguyo Province
Context triple: [Puno Region, contains, Yunguyo Province]
  • A. Loja Province
    Loja Province is a region in southern Ecuador known for its mountainous landscapes, cultural heritage, and the city of Loja, a historic center of music and the arts.
  • B. Tipaza Province
    Tipaza Province is a coastal region in northern Algeria known for its Mediterranean shoreline, Roman archaeological sites, and diverse Berber-speaking communities.
  • C. Canta Province
    Canta Province is an administrative subdivision in the highlands of central Peru, known for its Andean landscapes and rural communities within the Lima Region.
  • D. Lampa Province chosen
    Lampa Province is an administrative division in southern Peru known for its high Andean landscapes and traditional rural communities within the Puno Region.
  • E. Sajama Province
    Sajama Province is a remote administrative region in western Bolivia’s Oruro Department, best known for encompassing Nevado Sajama and the surrounding high-altitude Andean landscapes.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb7073d081909da84b21015972f2 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc03e69508190b55a4ad83fca3a45 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:56 p.m.