Triple

T21287435
Position Surface form Disambiguated ID Type / Status
Subject Laguna de Apoyeque E524696 entity
Predicate hasName P744 FINISHED
Object Laguna de Apoyeque 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: Laguna de Apoyeque | Statement: [Laguna de Apoyeque, hasName, Laguna de Apoyeque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laguna de Apoyeque
Context triple: [Laguna de Apoyeque, hasName, Laguna de Apoyeque]
  • A. Laguna de Apoyeque chosen
    Laguna de Apoyeque is a volcanic crater lake in Nicaragua formed within the Apoyeque volcano on the Chiltepe Peninsula.
  • B. Laguna de Tiscapa
    Laguna de Tiscapa is a volcanic crater lake and historic natural landmark located in Managua, Nicaragua.
  • C. Lake Petén Itzá
    Lake Petén Itzá is a large, scenic lake in northern Guatemala known for its nearby Maya archaeological sites and the island city of Flores.
  • D. Lake San Cristobal
    Lake San Cristobal is a natural alpine lake in the San Juan Mountains of southwestern Colorado, known for its scenic beauty, fishing, and outdoor recreation near the town of Lake City.
  • E. Laguna de Maderas
    Laguna de Maderas is a crater lake nestled within the dormant Maderas Volcano on Ometepe Island in Lake Nicaragua, known for its lush cloud forest surroundings and biodiversity.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.