Triple

T22096009
Position Surface form Disambiguated ID Type / Status
Subject Old Vilcabamba E546034 entity
Predicate locatedIn P40 FINISHED
Object Vilcabamba region NE NERFINISHED

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: Vilcabamba region | Statement: [Old Vilcabamba, locatedIn, Vilcabamba region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilcabamba region
Context triple: [Old Vilcabamba, locatedIn, Vilcabamba region]
  • A. Vilcabamba region chosen
    The Vilcabamba region was a remote mountainous area in Peru that served as the final stronghold of the Neo-Inca State after the Spanish conquest.
  • B. Azuay Province
    Azuay Province is an inland administrative region in southern Ecuador known for its Andean highlands and the historic city of Cuenca, a UNESCO World Heritage site.
  • C. Ñancahuazú region
    The Ñancahuazú region is a remote, rural area of southeastern Bolivia known as the base of operations for Che Guevara’s guerrilla campaign in the late 1960s.
  • D. Urubamba Province
    Urubamba Province is an administrative division in southern Peru’s Andes, known for encompassing much of the Sacred Valley of the Incas and several important archaeological sites near Cusco.
  • E. Manco Kapac Province
    Manco Kapac Province is an administrative division in Bolivia’s La Paz Department, known for encompassing the town of Copacabana on the shores of Lake Titicaca.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e8f1f48190a5f1d9e96a6de688 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:30 p.m.