Triple

T9724796
Position Surface form Disambiguated ID Type / Status
Subject Villa Clara Province E235578 entity
Predicate containsCity P294 FINISHED
Object Manicaragua E817440 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: Manicaragua | Statement: [Villa Clara Province, containsCity, Manicaragua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manicaragua
Context triple: [Villa Clara Province, containsCity, Manicaragua]
  • A. Manicaragua chosen
    Manicaragua is a municipality in central Cuba known for its mountainous terrain and significant coffee and tobacco production.
  • B. Moxos
    Moxos is a historical region in the Bolivian lowlands, known for its indigenous cultures, extensive pre-Columbian earthworks, and rich Amazonian wetlands.
  • C. Barajagua
    Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
  • D. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • E. Lobito
    Lobito is a coastal city and major port in western Angola, known for its strategic harbor and role in the country’s trade and transport.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7838448190a7b5b259765a0d95 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afb089e48190a14ed0c0f81872c7 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:21 p.m.