Triple

T5573486
Position Surface form Disambiguated ID Type / Status
Subject Potosí Department E146260 entity
Predicate capital P234 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: [Potosí Department, capital, Potosí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potosí
Context triple: [Potosí Department, capital, 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. Potos
    Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
  • C. Cerro Rico
    Cerro Rico is a historically significant silver-rich mountain in Bolivia whose vast mineral wealth fueled the Spanish Empire during the colonial era.
  • D. Quellón
    Quellón is a coastal town and major fishing port located at the southern end of Chile’s Chiloé Island.
  • E. Royal Mint of Potosí
    The Royal Mint of Potosí was a major Spanish colonial mint in present-day Bolivia that produced vast quantities of silver coins, making it one of the most important economic institutions of the Spanish Empire.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02052dd0481909aba6863831357eb completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02852a6fc8190a543508ab3237f95 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.