Triple

T10644815
Position Surface form Disambiguated ID Type / Status
Subject Bages E250809 entity
Predicate containsMunicipality P852 FINISHED
Object Navàs
Navàs is a municipality in the comarca of Bages in the province of Barcelona, Catalonia, Spain.
 E878060 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: Navàs | Statement: [Bages, containsMunicipality, Navàs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Navàs
Context triple: [Bages, containsMunicipality, Navàs]
  • A. Lajares
    Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
  • B. San Diego de Alcalá
    San Diego de Alcalá is a 15th-century Spanish Franciscan friar and saint known for his humility, missionary work, and reported miracles, particularly of healing.
  • C. Zamora
    Zamora is a city in southern Ecuador that serves as the administrative and commercial center of Zamora-Chinchipe Province in the Amazonian foothills.
  • D. Zamora
    Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
  • E. Zamora
    Zamora is a historic city in northwestern Spain known for its well-preserved Romanesque architecture and strategic location near the Portuguese border.
  • 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: Navàs
Triple: [Bages, containsMunicipality, Navàs]
Generated description
Navàs is a municipality in the comarca of Bages in the province of Barcelona, Catalonia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Navàs
Target entity description: Navàs is a municipality in the comarca of Bages in the province of Barcelona, Catalonia, Spain.
  • A. Lajares
    Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
  • B. San Diego de Alcalá
    San Diego de Alcalá is a 15th-century Spanish Franciscan friar and saint known for his humility, missionary work, and reported miracles, particularly of healing.
  • C. Zamora
    Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
  • D. Zamora
    Zamora is a city in southern Ecuador that serves as the administrative and commercial center of Zamora-Chinchipe Province in the Amazonian foothills.
  • E. Zamora
    Zamora is a historic city in northwestern Spain known for its well-preserved Romanesque architecture and strategic location near the Portuguese border.
  • 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.