Triple

T11451289
Position Surface form Disambiguated ID Type / Status
Subject Avenue of the Volcanoes E271401 entity
Predicate hasVolcano P6356 FINISHED
Object Antisana E265735 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: Antisana | Statement: [Avenue of the Volcanoes, hasVolcano, Antisana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antisana
Context triple: [Avenue of the Volcanoes, hasVolcano, Antisana]
  • A. Antisana chosen
    Antisana is a massive, glaciated stratovolcano in the Ecuadorian Andes, known for its high elevation and extensive ice cap.
  • B. Cayambe
    Cayambe is a massive, glaciated stratovolcano in Ecuador’s Andes, notable for being the highest point on the Earth’s equator.
  • C. Puracé
    Puracé is an active stratovolcano in the Colombian Andes known for its frequent eruptions and location within Puracé National Natural Park.
  • D. Chocontá
    Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
  • E. Chiquinquirá
    Chiquinquirá is a Colombian town known as a major religious pilgrimage center and the site of the Basilica of Our Lady of the Rosary of Chiquinquirá.
  • 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_69e5e903781881908e96c66ecfca2911 completed April 20, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:35 p.m.