Triple

T2462741
Position Surface form Disambiguated ID Type / Status
Subject Edward Whymper E54568 entity
Predicate climbed P6287 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: [Edward Whymper, climbed, Antisana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antisana
Context triple: [Edward Whymper, climbed, 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd11f093c8190877db3026d430bd5 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cdd404c8190b86f240789e68925 completed March 9, 2026, 11:50 p.m.
Created at: March 6, 2026, 9:44 p.m.