Triple

T13239258
Position Surface form Disambiguated ID Type / Status
Subject Gironès E315236 entity
Predicate contains P35 FINISHED
Object Aiguaviva
Aiguaviva is a small municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
 E1028928 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: Aiguaviva | Statement: [Gironès, contains, Aiguaviva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aiguaviva
Context triple: [Gironès, contains, Aiguaviva]
  • A. Acholla
    Acholla was an ancient coastal city in the Roman province of Byzacena, located in what is now modern-day Tunisia.
  • B. Ayawa
    Ayawa is an alternative name for the Yao people, an ethnic group found primarily in parts of East and Southern Africa.
  • C. Vabea
    Vabea is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian community and proximity to coral reefs.
  • D. Anaguta
    Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
  • E. Araweté
    Araweté is an Indigenous people of the Brazilian Amazon whose language belongs to the Tupi–Guaraní family and who maintain a distinct traditional culture and way of life.
  • 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: Aiguaviva
Triple: [Gironès, contains, Aiguaviva]
Generated description
Aiguaviva is a small municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aiguaviva
Target entity description: Aiguaviva is a small municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
  • A. Acholla
    Acholla was an ancient coastal city in the Roman province of Byzacena, located in what is now modern-day Tunisia.
  • B. Ayawa
    Ayawa is an alternative name for the Yao people, an ethnic group found primarily in parts of East and Southern Africa.
  • C. Vabea
    Vabea is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian community and proximity to coral reefs.
  • D. Anaguta
    Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
  • E. Araweté
    Araweté is an Indigenous people of the Brazilian Amazon whose language belongs to the Tupi–Guaraní family and who maintain a distinct traditional culture and way of life.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff323a3c8190b46b24e69e653105 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7013a368c8190a768f837f6551f5b completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f7038563848190ae96538e30ecafd5 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 9:23 p.m.