Triple

T14983953
Position Surface form Disambiguated ID Type / Status
Subject Cerro E373652 entity
Predicate exampleUsageInToponym P20238 FINISHED
Object Cerro de Pasco E424547 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: Cerro de Pasco | Statement: [Cerro, exampleUsageInToponym, Cerro de Pasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro de Pasco
Context triple: [Cerro, exampleUsageInToponym, Cerro de Pasco]
  • A. Cerro de Pasco chosen
    Cerro de Pasco is a high-altitude mining city in central Peru known for its extensive polymetallic deposits and environmental challenges.
  • B. Cerro Manqui
    Cerro Manqui is a mountain in Chile’s Atacama Desert that hosts major astronomical observatories, including the Baade Telescope at Las Campanas Observatory.
  • 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. Sinchi Roca
    Sinchi Roca was the second Sapa Inca of the Kingdom of Cusco and a legendary early ruler in Inca tradition, traditionally regarded as the son and heir of Manco Cápac.
  • E. Cerro Champaquí
    Cerro Champaquí is a prominent mountain in central Argentina known for its scenic hiking routes and panoramic views over the surrounding Córdoba region.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6ff4a7c8190ab7554f3a1a09b67 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9694aa688190bbecb645c49e795e completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:52 a.m.