Triple

T6071770
Position Surface form Disambiguated ID Type / Status
Subject Sucre Department E135298 entity
Predicate hasMunicipality P847 FINISHED
Object Coveñas
Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
 E567777 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: Coveñas | Statement: [Sucre Department, hasMunicipality, Coveñas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coveñas
Context triple: [Sucre Department, hasMunicipality, Coveñas]
  • A. Cosío
    Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
  • B. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • C. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • D. Aguadas
    Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
  • E. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • 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: Coveñas
Triple: [Sucre Department, hasMunicipality, Coveñas]
Generated description
Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coveñas
Target entity description: Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
  • A. Cosío
    Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
  • B. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • C. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • D. Aguadas
    Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
  • E. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05758a21c81909cc10ef5f725a489 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125274e1c8190b452fdeeb788a6f2 completed March 23, 2026, 11:33 a.m.
NEDg Description generation batch_69c126b21ef88190bc7ed82f2d71c503 completed March 23, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69c127275bc48190bfe121d59e91c99b completed March 23, 2026, 11:42 a.m.
Created at: March 22, 2026, 4:11 p.m.