Triple

T15232910
Position Surface form Disambiguated ID Type / Status
Subject Province of Badajoz E364048 entity
Predicate contains P35 FINISHED
Object Guareña
Guareña is a municipality in western Spain’s Extremadura region, known for its agricultural economy and traditional rural character within the Province of Badajoz.
 E1147796 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: Guareña | Statement: [Province of Badajoz, contains, Guareña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guareña
Context triple: [Province of Badajoz, contains, Guareña]
  • A. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • B. Guarauno
    Guarauno is an alternative name for the Warao language spoken by the Warao people of the Orinoco Delta region in Venezuela and neighboring areas.
  • 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. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • 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: Guareña
Triple: [Province of Badajoz, contains, Guareña]
Generated description
Guareña is a municipality in western Spain’s Extremadura region, known for its agricultural economy and traditional rural character within the Province of Badajoz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guareña
Target entity description: Guareña is a municipality in western Spain’s Extremadura region, known for its agricultural economy and traditional rural character within the Province of Badajoz.
  • A. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • B. Guarauno
    Guarauno is an alternative name for the Warao language spoken by the Warao people of the Orinoco Delta region in Venezuela and neighboring areas.
  • 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. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • 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_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6a5ad48190a13f0b7bc1a6be0b completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69feefe8c4ec819085ccab5048c1db28 completed May 9, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_69fef0c5d2608190970e901e3986077c completed May 9, 2026, 8:31 a.m.
Created at: April 10, 2026, 3:12 a.m.