Triple

T5636183
Position Surface form Disambiguated ID Type / Status
Subject Vilcabamba E147954 entity
Predicate near P350 FINISHED
Object Cusco Region E56219 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: Cusco Region | Statement: [Vilcabamba, near, Cusco Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cusco Region
Context triple: [Vilcabamba, near, Cusco Region]
  • A. Cusco Region chosen
    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.
  • B. Cusco Province
    Cusco Province is an administrative division in southeastern Peru that includes the historic city of Cusco, a major cultural and tourist center of the country.
  • C. Arequipa Region
    The Arequipa Region is a southern Peruvian administrative area dominated by volcanic highlands and deep canyons, including parts of the Andes where some headwaters of the Amazon River originate.
  • D. Huancavelica Region
    Huancavelica Region is a highland region in central Peru known for its mountainous terrain, mining history, and predominantly rural Andean communities.
  • E. Madre de Dios Region
    Madre de Dios Region is a sparsely populated, biodiverse region in southeastern Peru known for its Amazon rainforest, protected natural reserves, and ecotourism.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226286208190b6ccf036cc09fe82 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e38ae278819096aefcfbf98873dd completed March 27, 2026, 1:55 a.m.
Created at: March 22, 2026, 3:41 p.m.