Triple

T13303213
Position Surface form Disambiguated ID Type / Status
Subject Gironès E316865 entity
Predicate contains P35 FINISHED
Object Canet d’Adri
Canet d’Adri is a small municipality in the province of Girona, Catalonia, known for its rural landscape and proximity to the city of Girona.
 E1033143 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: Canet d’Adri | Statement: [Gironès, contains, Canet d’Adri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canet d’Adri
Context triple: [Gironès, contains, Canet d’Adri]
  • A. Canet-de-Salars
    Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
  • B. Canet de Mar
    Canet de Mar is a coastal town in Catalonia, Spain, known for its modernist architecture and Mediterranean beaches.
  • C. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • D. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • E. Rivesaltes
    Rivesaltes is a commune in southern France’s Pyrénées-Orientales department, known for its wine production and historical internment camp.
  • 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: Canet d’Adri
Triple: [Gironès, contains, Canet d’Adri]
Generated description
Canet d’Adri is a small municipality in the province of Girona, Catalonia, known for its rural landscape and proximity to the city of Girona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canet d’Adri
Target entity description: Canet d’Adri is a small municipality in the province of Girona, Catalonia, known for its rural landscape and proximity to the city of Girona.
  • A. Canet-de-Salars
    Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
  • B. Canet de Mar
    Canet de Mar is a coastal town in Catalonia, Spain, known for its modernist architecture and Mediterranean beaches.
  • C. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • D. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • E. Rivesaltes
    Rivesaltes is a commune in southern France’s Pyrénées-Orientales department, known for its wine production and historical internment camp.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:28 p.m.