Triple

T13345449
Position Surface form Disambiguated ID Type / Status
Subject Segrià E317936 entity
Predicate hasMunicipality P847 FINISHED
Object Alfarràs
Alfarràs is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
 E1035658 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: Alfarràs | Statement: [Segrià, hasMunicipality, Alfarràs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alfarràs
Context triple: [Segrià, hasMunicipality, Alfarràs]
  • A. La Malagueña
    "La Malagueña" is a famous traditional Mexican song, often performed in mariachi style, known for its dramatic melody and demanding vocal range.
  • B. La Almudena
    La Almudena is a Madrid Metro station on the city’s Line 2 serving the eastern part of the Spanish capital.
  • C. Ontinyent
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • D. Malpica de Bergantiños
    Malpica de Bergantiños is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its fishing tradition and rugged Atlantic shoreline.
  • E. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • 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: Alfarràs
Triple: [Segrià, hasMunicipality, Alfarràs]
Generated description
Alfarràs is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alfarràs
Target entity description: Alfarràs is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
  • A. La Malagueña
    "La Malagueña" is a famous traditional Mexican song, often performed in mariachi style, known for its dramatic melody and demanding vocal range.
  • B. La Almudena
    La Almudena is a Madrid Metro station on the city’s Line 2 serving the eastern part of the Spanish capital.
  • C. Ontinyent
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • D. Malpica de Bergantiños
    Malpica de Bergantiños is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its fishing tradition and rugged Atlantic shoreline.
  • E. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f439b3c8190b35fd4d097d65068 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221887208190ac98945a023bc496 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:31 p.m.