Triple

T11400856
Position Surface form Disambiguated ID Type / Status
Subject Oliba Cabreta E270103 entity
Predicate familyName P18 FINISHED
Object Cabreta
Cabreta is a medieval Catalan noble family name most notably borne by the 10th–11th century count Oliba Cabreta of Cerdanya and Besalú.
 E923738 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: Cabreta | Statement: [Oliba Cabreta, familyName, Cabreta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cabreta
Context triple: [Oliba Cabreta, familyName, Cabreta]
  • A. Cantagallo
    Cantagallo is a municipality and town located in the Bolívar Department of northern Colombia, known for its rural character and proximity to the Magdalena River.
  • B. Cantagallo
    Cantagallo is a small municipality in the Tuscany region of central Italy, known for its mountainous landscape and rural character.
  • C. Costa Alegre
    Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
  • D. La Barra
    La Barra is the natural volcanic reef that shelters Las Canteras Beach in Las Palmas de Gran Canaria, creating its calm, protected waters.
  • E. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • 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: Cabreta
Triple: [Oliba Cabreta, familyName, Cabreta]
Generated description
Cabreta is a medieval Catalan noble family name most notably borne by the 10th–11th century count Oliba Cabreta of Cerdanya and Besalú.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cabreta
Target entity description: Cabreta is a medieval Catalan noble family name most notably borne by the 10th–11th century count Oliba Cabreta of Cerdanya and Besalú.
  • A. Cantagallo
    Cantagallo is a municipality and town located in the Bolívar Department of northern Colombia, known for its rural character and proximity to the Magdalena River.
  • B. Cantagallo
    Cantagallo is a small municipality in the Tuscany region of central Italy, known for its mountainous landscape and rural character.
  • C. Costa Alegre
    Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
  • D. La Barra
    La Barra is the natural volcanic reef that shelters Las Canteras Beach in Las Palmas de Gran Canaria, creating its calm, protected waters.
  • E. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cf75ec08190a571e5178bcde274 completed April 20, 2026, 2:18 a.m.
NEDg Description generation batch_69e59777b1208190a33a50da286535ee completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3cf9d388190944340af484b3a54 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.