Triple

T17284317
Position Surface form Disambiguated ID Type / Status
Subject Casma E419611 entity
Predicate nearby P350 FINISHED
Object Cerro Sechín 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: Cerro Sechín | Statement: [Casma, nearby, Cerro Sechín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro Sechín
Context triple: [Casma, nearby, Cerro Sechín]
  • A. Cerro Sechín chosen
    Cerro Sechín is an early archaeological site on Peru’s north-central coast, notable for its carved stone reliefs depicting ritual violence and its importance in understanding the region’s Formative period cultures.
  • B. Pico Trujillo
    Pico Trujillo is the highest mountain in the Caribbean, located in the Cordillera Central range of the Dominican Republic.
  • C. Cerro San Cristóbal
    Cerro San Cristóbal is a prominent hill and religious landmark overlooking central Lima, Peru, known for its large cross and panoramic views of the city.
  • D. Cerro San Cristóbal
    Cerro San Cristóbal is a prominent hill and urban park in Santiago, Chile, known for its panoramic city views, religious sanctuaries, and recreational attractions.
  • E. Cerro Uchumachi
    Cerro Uchumachi is a scenic mountain near Coroico in Bolivia’s Yungas region, known for its panoramic views over the surrounding valleys and cloud forest.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332bd324819080795152293d6d43 completed April 19, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:40 a.m.