Triple

T13664446
Position Surface form Disambiguated ID Type / Status
Subject 1997 Copa América E327079 entity
Predicate hostCity P1798 FINISHED
Object Potosí E24407 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: Potosí | Statement: [1997 Copa América, hostCity, Potosí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potosí
Context triple: [1997 Copa América, hostCity, Potosí]
  • A. 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.
  • B. Huayna Potosí
    Huayna Potosí is a prominent, glaciated mountain in the Bolivian Andes, popular with climbers for its relatively accessible high-altitude ascent.
  • C. Potos
    Potos is a genus of arboreal mammals best known for the kinkajou, a nocturnal, fruit-eating rainforest species with a prehensile tail.
  • D. Potos
    Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
  • E. 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.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0ac4c88190ab6f753c6847eb6e completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.