Triple

T10644963
Position Surface form Disambiguated ID Type / Status
Subject Osona E250812 entity
Predicate contains P35 FINISHED
Object Lluçà
Lluçà is a small rural municipality in the comarca of Osona in Catalonia, Spain, known for its historic Romanesque monastery and scenic countryside.
 E878110 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: Lluçà | Statement: [Osona, contains, Lluçà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lluçà
Context triple: [Osona, contains, Lluçà]
  • A. Riu de Santa Eulària
    Riu de Santa Eulària is a small coastal river on the Spanish island of Ibiza that flows through the municipality of Santa Eulària des Riu into the Mediterranean Sea.
  • B. Illueca
    Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
  • C. Gironès
    Gironès is a comarca (county) in the province of Girona, Catalonia, known for encompassing the city of Girona and its surrounding municipalities.
  • D. Camarasa
    Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
  • E. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • 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: Lluçà
Triple: [Osona, contains, Lluçà]
Generated description
Lluçà is a small rural municipality in the comarca of Osona in Catalonia, Spain, known for its historic Romanesque monastery and scenic countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lluçà
Target entity description: Lluçà is a small rural municipality in the comarca of Osona in Catalonia, Spain, known for its historic Romanesque monastery and scenic countryside.
  • A. Riu de Santa Eulària
    Riu de Santa Eulària is a small coastal river on the Spanish island of Ibiza that flows through the municipality of Santa Eulària des Riu into the Mediterranean Sea.
  • B. Illueca
    Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
  • C. Gironès
    Gironès is a comarca (county) in the province of Girona, Catalonia, known for encompassing the city of Girona and its surrounding municipalities.
  • D. Camarasa
    Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
  • E. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfd04ca88190ac4fffd13c1f33a8 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a580d388190aea5edadd4afc0d1 completed April 10, 2026, 10:31 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e0cda0c8190af5013b971b2ad3c completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.