Triple

T16416104
Position Surface form Disambiguated ID Type / Status
Subject Nor Yungas Province E398688 entity
Predicate hasSettlement P1068 FINISHED
Object Coroico E296072 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: Coroico | Statement: [Nor Yungas Province, hasSettlement, Coroico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coroico
Context triple: [Nor Yungas Province, hasSettlement, Coroico]
  • A. Coroico chosen
    Coroico is a small, scenic town in Bolivia’s Yungas region, known for its lush subtropical landscapes and role as a popular tourist gateway from La Paz.
  • B. Huancané
    Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
  • C. Chayahuita
    Chayahuita is an indigenous language of the Peruvian Amazon, spoken by the Chayahuita (Shawi) people and belonging to the Cahuapanan language family.
  • D. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • E. Cajatambo
    Cajatambo is a small Andean town in central Peru known for its colonial-era architecture, highland landscapes, and traditional Quechua-influenced culture.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32877ff248190886717d3329421a7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679a900c8190aeb7a273943bf553 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:09 a.m.