Triple

T21880338
Position Surface form Disambiguated ID Type / Status
Subject Mateare E540260 entity
Predicate isNear P350 FINISHED
Object Ciudad Sandino 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: Ciudad Sandino | Statement: [Mateare, isNear, Ciudad Sandino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Sandino
Context triple: [Mateare, isNear, Ciudad Sandino]
  • A. Ciudad Sandino chosen
    Ciudad Sandino is a rapidly growing urban municipality in western Nicaragua that functions as part of the greater Managua metropolitan area.
  • B. San Carlos, Nicaragua
    San Carlos is a small Nicaraguan town and river port on the shores of Lake Nicaragua, known as a gateway to the San Juan River and nearby natural reserves.
  • C. Juigalpa
    Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
  • D. Chichigalpa
    Chichigalpa is a Nicaraguan town known for its sugarcane industry and as the home of the Flor de Caña rum distillery.
  • E. Ciudad Darío
    Ciudad Darío is a Nicaraguan town best known as the birthplace of the influential modernist poet Rubén Darío.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e600c08190bc96203f03f1e58a completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:04 p.m.