Triple

T14794852
Position Surface form Disambiguated ID Type / Status
Subject Caldas E347746 entity
Predicate hasMunicipality P847 FINISHED
Object Samaná E219804 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: Samaná | Statement: [Caldas, hasMunicipality, Samaná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samaná
Context triple: [Caldas, hasMunicipality, Samaná]
  • A. Samaná chosen
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • B. Guamá
    Guamá is a municipality-level administrative division, likely in a Spanish-speaking country, that serves as a local government area named Guamá.
  • C. Guamá
    Guamá was a Taíno chieftain in Cuba who led one of the earliest recorded indigenous resistance movements against Spanish colonial rule in the early 16th century.
  • D. Trinidad
    Trinidad is a historic colonial city in central Cuba renowned for its well-preserved Spanish architecture and cobblestone streets.
  • E. Trinidad
    Trinidad was the flagship of Ferdinand Magellan’s expedition, the first voyage to successfully circumnavigate the globe.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5fdd548190a2ee5e668c2b20b4 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bea4408190975f4856cc02580e completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.