Triple

T13239263
Position Surface form Disambiguated ID Type / Status
Subject Gironès E315236 entity
Predicate contains P35 FINISHED
Object Llagostera
Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
E1028932 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: Llagostera | Statement: [Gironès, contains, Llagostera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llagostera
Context triple: [Gironès, contains, Llagostera]
  • A. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • B. Lizarra
    Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
  • C. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • D. Meanguera
    Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
  • E. Loncopué
    Loncopué is a small town in Argentina’s Neuquén Province, known as a regional service center in the Andean foothills near the Chilean 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: Llagostera
Triple: [Gironès, contains, Llagostera]
Generated description
Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Llagostera
Target entity description: Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
  • A. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • B. Lizarra
    Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
  • C. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • D. Meanguera
    Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
  • E. Loncopué
    Loncopué is a small town in Argentina’s Neuquén Province, known as a regional service center in the Andean foothills near the Chilean 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_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.