Triple

T22706282
Position Surface form Disambiguated ID Type / Status
Subject Rich Mountain E561460 entity
Predicate associatedWithCity P1481 FINISHED
Object Potosí 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: Potosí | Statement: [Rich Mountain, associatedWithCity, Potosí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potosí
Context triple: [Rich Mountain, associatedWithCity, Potosí]
  • A. Potosí
    Potosí is a municipality in the Rivas Department of southwestern Nicaragua, known for its rural character and proximity to the Pacific coast.
  • B. Potosí chosen
    Potosí is a historic Bolivian city famed for its once immensely productive silver mines at Cerro Rico, which made it one of the richest and largest cities in the world during the Spanish colonial era.
  • C. Huayna Potosí
    Huayna Potosí is a prominent, glaciated mountain in the Bolivian Andes, popular with climbers for its relatively accessible high-altitude ascent.
  • D. Potos
    Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
  • E. Potos
    Potos is a genus of arboreal mammals best known for the kinkajou, a nocturnal, fruit-eating rainforest species with a prehensile tail.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178ceba6c8190a538366a8e4648de completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:17 p.m.