Triple

T7559102
Position Surface form Disambiguated ID Type / Status
Subject Sesquilé E178748 entity
Predicate locatedNear P294 FINISHED
Object Lake Guatavita E33997 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: Lake Guatavita | Statement: [Sesquilé, locatedNear, Lake Guatavita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Guatavita
Context triple: [Sesquilé, locatedNear, Lake Guatavita]
  • A. Lake Zirahuén
    Lake Zirahuén is a scenic, high-altitude freshwater lake in Michoacán, Mexico, known for its clear waters, surrounding pine forests, and growing ecotourism activities.
  • B. Lake Tota
    Lake Tota is Colombia’s largest natural lake, located high in the Andes and known for its scenic beauty and ecological significance.
  • C. Laguna de Apoyeque
    Laguna de Apoyeque is a volcanic crater lake in Nicaragua formed within the Apoyeque volcano on the Chiltepe Peninsula.
  • D. Guatavita chosen
    Guatavita is a Colombian town in the department of Cundinamarca, known for its proximity to the legendary Lake Guatavita associated with the El Dorado myth.
  • E. Laguna de Tiscapa
    Laguna de Tiscapa is a volcanic crater lake and historic natural landmark located in Managua, Nicaragua.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dc7d288190a0d08ba704cc3fc2 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856cc869081909555ae03dec52288 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.