Triple

T10644849
Position Surface form Disambiguated ID Type / Status
Subject Anoia E250810 entity
Predicate contains P35 FINISHED
Object Masquefa
Masquefa is a municipality in the comarca of Anoia in Catalonia, Spain, known for its rural character and proximity to the Barcelona metropolitan area.
 E878068 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: Masquefa | Statement: [Anoia, contains, Masquefa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masquefa
Context triple: [Anoia, contains, Masquefa]
  • A. Masca
    Masca is a small, picturesque mountain village on the island of Tenerife in Spain’s Canary Islands, known for its dramatic ravine landscapes and popular hiking routes.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • D. Monsula
    Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
  • E. Mascarille
    Mascarille is a comic valet character in Molière’s play *Les Précieuses ridicules*, known for his affected manners and satirical portrayal of social pretension.
  • 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: Masquefa
Triple: [Anoia, contains, Masquefa]
Generated description
Masquefa is a municipality in the comarca of Anoia in Catalonia, Spain, known for its rural character and proximity to the Barcelona metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masquefa
Target entity description: Masquefa is a municipality in the comarca of Anoia in Catalonia, Spain, known for its rural character and proximity to the Barcelona metropolitan area.
  • A. Masca
    Masca is a small, picturesque mountain village on the island of Tenerife in Spain’s Canary Islands, known for its dramatic ravine landscapes and popular hiking routes.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • D. Monsula
    Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
  • E. Mascarille
    Mascarille is a comic valet character in Molière’s play *Les Précieuses ridicules*, known for his affected manners and satirical portrayal of social pretension.
  • 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_69d97a4dd4e48190ba7d0291686702e6 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.