Triple

T18201848
Position Surface form Disambiguated ID Type / Status
Subject Decade Volcanoes E435808 entity
Predicate hasMember P10 FINISHED
Object Galeras 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: Galeras | Statement: [Decade Volcanoes, hasMember, Galeras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galeras
Context triple: [Decade Volcanoes, hasMember, Galeras]
  • A. Galeras chosen
    Galeras is an active stratovolcano in southwestern Colombia known for its frequent eruptions and proximity to the city of Pasto.
  • B. Changuinola
    Changuinola is a major town in western Panama known as an economic and transportation hub for the banana-growing Bocas del Toro region.
  • C. Puerto Caicedo
    Puerto Caicedo is a rural municipality in southern Colombia known for its location in the Amazonian foothills and its history of armed conflict and coca cultivation.
  • D. Puerto Bolívar
    Puerto Bolívar is a coastal port city in southwestern Ecuador known for its significant role in regional maritime trade and fishing activities.
  • E. Puerto Bolívar
    Puerto Bolívar is a major Colombian coal-export port located on the Caribbean coast in the La Guajira Department.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d71f288190918ca78543118bbe completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:32 a.m.