Triple

T12394087
Position Surface form Disambiguated ID Type / Status
Subject Viacha E296071 entity
Predicate partOf P40 FINISHED
Object Ingavi Province E847558 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: Ingavi Province | Statement: [Viacha, partOf, Ingavi Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingavi Province
Context triple: [Viacha, partOf, Ingavi Province]
  • A. Ingavi Province chosen
    Ingavi Province is a region in Bolivia’s La Paz Department known for encompassing the ancient pre-Columbian city and archaeological site of Tiwanaku.
  • B. Huarochirí Province
    Huarochirí Province is a highland administrative division of Peru’s Lima Region, known for its Andean landscapes, traditional Quechua-speaking communities, and pre-Hispanic cultural heritage.
  • C. Huancané Province
    Huancané Province is an administrative division in southern Peru known for its high Andean geography and predominantly Aymara-speaking population.
  • D. Hualgayoc Province
    Hualgayoc Province is an administrative division in northern Peru known for its high Andean terrain and significant mining activities.
  • E. Lauricocha Province
    Lauricocha Province is an administrative province in central Peru known for its high Andean landscapes, lakes, and archaeological sites within the Huánuco Region.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:54 p.m.