Triple

T6008519
Position Surface form Disambiguated ID Type / Status
Subject Royal Mint of Potosí E133773 entity
Predicate location P40 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: [Royal Mint of Potosí, location, Potosí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potosí
Context triple: [Royal Mint of Potosí, location, 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. 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. 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.
  • E. Quellón
    Quellón is a coastal town and major fishing port located at the southern end of Chile’s Chiloé Island.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f154ca481909431baf4feecc16d completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11ce452748190b8b798a5cc2922f2 completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:06 p.m.