Triple

T11451294
Position Surface form Disambiguated ID Type / Status
Subject Avenue of the Volcanoes E271401 entity
Predicate hasVolcano P6356 FINISHED
Object Pasochoa E298505 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: Pasochoa | Statement: [Avenue of the Volcanoes, hasVolcano, Pasochoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasochoa
Context triple: [Avenue of the Volcanoes, hasVolcano, Pasochoa]
  • A. Pasochoa chosen
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • B. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • C. Pochuteco
    Pochuteco is an extinct Uto-Aztecan language once spoken in the region of Pochutla on the Pacific coast of Oaxaca, Mexico.
  • D. Chiriguaná
    Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6f4d788190ac59b0df946cebbc completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3d740008190a05ccb789ac0906d completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.