Triple

T13089904
Position Surface form Disambiguated ID Type / Status
Subject municipality of Guamá E310433 entity
Predicate hasOfficialName P66 FINISHED
Object Guamá
Guamá is a municipality-level administrative division, likely in a Spanish-speaking country, that serves as a local government area named Guamá.
 E1021291 NE FINISHED

How this triple was built (4 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: Guamá | Statement: [municipality of Guamá, hasOfficialName, Guamá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guamá
Context triple: [municipality of Guamá, hasOfficialName, Guamá]
  • A. 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.
  • B. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • C. Guane
    Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
  • 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. Coamo
    Coamo is a historic inland municipality in south-central Puerto Rico, known for its natural hot springs and agricultural traditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guamá
Triple: [municipality of Guamá, hasOfficialName, Guamá]
Generated description
Guamá is a municipality-level administrative division, likely in a Spanish-speaking country, that serves as a local government area named Guamá.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guamá
Target entity description: Guamá is a municipality-level administrative division, likely in a Spanish-speaking country, that serves as a local government area named Guamá.
  • A. 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.
  • B. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • C. Guane
    Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
  • 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. Coamo
    Coamo is a historic inland municipality in south-central Puerto Rico, known for its natural hot springs and agricultural traditions.
  • F. None of above. chosen

Provenance (5 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6db8b74e08190919245104ac7ebd9 completed May 3, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6dc4db1e0819082f1b7e196e7f0c0 completed May 3, 2026, 5:25 a.m.
Created at: April 9, 2026, 9:03 p.m.