Triple

T15220619
Position Surface form Disambiguated ID Type / Status
Subject Colombia–Venezuela border region E363756 entity
Predicate containsBorderCrossingCity P4105 FINISHED
Object Ureña
Ureña is a Venezuelan city in Táchira state known as a key commercial and transit hub on the Colombia–Venezuela border.
E1144753 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: Ureña | Statement: [Colombia–Venezuela border region, containsBorderCrossingCity, Ureña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ureña
Context triple: [Colombia–Venezuela border region, containsBorderCrossingCity, Ureña]
  • A. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • B. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • C. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • D. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • E. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • 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: Ureña
Triple: [Colombia–Venezuela border region, containsBorderCrossingCity, Ureña]
Generated description
Ureña is a Venezuelan city in Táchira state known as a key commercial and transit hub on the Colombia–Venezuela border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ureña
Target entity description: Ureña is a Venezuelan city in Táchira state known as a key commercial and transit hub on the Colombia–Venezuela border.
  • A. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • B. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • C. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • D. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • E. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3159fc81908c05cfbd0bd7e5ac completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedea1fea88190b891485794acfa8d completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedf2b52348190bd8fc6999cb0abd7 completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:12 a.m.