Triple

T15232918
Position Surface form Disambiguated ID Type / Status
Subject Province of Badajoz E364048 entity
Predicate contains P35 FINISHED
Object Trujillanos
Trujillanos is a small municipality in western Spain’s Extremadura region, known for its rural character and proximity to the city of Mérida.
E1144438 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: Trujillanos | Statement: [Province of Badajoz, contains, Trujillanos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trujillanos
Context triple: [Province of Badajoz, contains, Trujillanos]
  • A. Llaneros Fútbol Club
    Llaneros Fútbol Club is a Colombian professional football team based in Villavicencio that competes in the country’s lower divisions.
  • B. Club 12 de Octubre
    Club 12 de Octubre is a Paraguayan professional football club that competes in the country's top-tier league system.
  • C. Los Colchoneros
    Los Colchoneros is the popular nickname of Spanish football club Atlético de Madrid, referring to the club’s traditional red-and-white striped colors.
  • D. Melgar
    Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
  • E. Club Deportivo FAS
    Club Deportivo FAS is one of El Salvador’s most successful and popular professional football clubs, known for its rich history and numerous national league titles.
  • 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: Trujillanos
Triple: [Province of Badajoz, contains, Trujillanos]
Generated description
Trujillanos is a small municipality in western Spain’s Extremadura region, known for its rural character and proximity to the city of Mérida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trujillanos
Target entity description: Trujillanos is a small municipality in western Spain’s Extremadura region, known for its rural character and proximity to the city of Mérida.
  • A. Llaneros Fútbol Club
    Llaneros Fútbol Club is a Colombian professional football team based in Villavicencio that competes in the country’s lower divisions.
  • B. Club 12 de Octubre
    Club 12 de Octubre is a Paraguayan professional football club that competes in the country's top-tier league system.
  • C. Los Colchoneros
    Los Colchoneros is the popular nickname of Spanish football club Atlético de Madrid, referring to the club’s traditional red-and-white striped colors.
  • D. Melgar
    Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
  • E. Club Deportivo FAS
    Club Deportivo FAS is one of El Salvador’s most successful and popular professional football clubs, known for its rich history and numerous national league titles.
  • 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_69fedd3beae88190a91af2c9a7def8f8 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fede3ef86481908b21bb8c43e490a0 completed May 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69fedec501408190831c1cfa38c0db15 completed May 9, 2026, 7:14 a.m.
Created at: April 10, 2026, 3:12 a.m.