Triple

T18316898
Position Surface form Disambiguated ID Type / Status
Subject Kasato Maru E438771 entity
Predicate originalName P65 FINISHED
Object Potosi 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: Potosi | Statement: [Kasato Maru, originalName, Potosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potosi
Context triple: [Kasato Maru, originalName, Potosi]
  • 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. Potosí city
    Potosí city is a historic Bolivian mining city that became one of the richest and largest urban centers in the world during the Spanish colonial era due to its vast silver deposits.
  • D. San Antonio de las Minas
    San Antonio de las Minas is a small rural community in Baja California, Mexico, known for its vineyards and role in the Guadalupe Valley wine region.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021f5f1081909fd98c8fb786c7ff completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.