Triple

T985646
Position Surface form Disambiguated ID Type / Status
Subject Ichocán E21272 entity
Predicate partOf P40 FINISHED
Object Cajamarca Region E135522 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: Cajamarca Region | Statement: [Ichocán, partOf, Cajamarca Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cajamarca Region
Context triple: [Ichocán, partOf, Cajamarca Region]
  • A. Cajamarca Region chosen
    Cajamarca Region is an administrative region in northern Peru known for its Andean highlands, rich colonial and pre-Columbian history, and significant mining and agricultural activities.
  • B. Lima Region
    Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
  • C. Cusco Region
    Cusco Region is a department in southeastern Peru known as the historic heartland of the Inca Empire and home to major archaeological sites including Machu Picchu and the Sacred Valley.
  • D. Huánuco Region
    Huánuco Region is an inland administrative region of central Peru known for its Andean landscapes, rich pre-Columbian history, and agricultural production.
  • E. Huancavelica Region
    Huancavelica Region is a highland region in central Peru known for its mountainous terrain, mining history, and predominantly rural Andean communities.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b496b7308190a9c201244330b784 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac763582c48190bcf038162a1dea1c completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:41 p.m.