Triple

T16828007
Position Surface form Disambiguated ID Type / Status
Subject Cañas y barro E409070 entity
Predicate mainCharacter P1183 FINISHED
Object Cañamel
Cañamel is a central fictional character in Vicente Blasco Ibáñez’s novel "Cañas y barro," representing the harsh, traditional rural life of the Albufera region near Valencia.
 E1236655 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: Cañamel | Statement: [Cañas y barro, mainCharacter, Cañamel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cañamel
Context triple: [Cañas y barro, mainCharacter, Cañamel]
  • A. Cañete
    Cañete is a coastal province and agricultural hub in central Peru, known for its fertile valleys, Afro-Peruvian cultural heritage, and production of crops like grapes and cotton.
  • B. Cañete
    Cañete is a historic town in the province of Cuenca, Spain, known for its medieval architecture and hilltop castle.
  • C. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • D. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • E. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • 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: Cañamel
Triple: [Cañas y barro, mainCharacter, Cañamel]
Generated description
Cañamel is a central fictional character in Vicente Blasco Ibáñez’s novel "Cañas y barro," representing the harsh, traditional rural life of the Albufera region near Valencia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cañamel
Target entity description: Cañamel is a central fictional character in Vicente Blasco Ibáñez’s novel "Cañas y barro," representing the harsh, traditional rural life of the Albufera region near Valencia.
  • A. Cañete
    Cañete is a coastal province and agricultural hub in central Peru, known for its fertile valleys, Afro-Peruvian cultural heritage, and production of crops like grapes and cotton.
  • B. Cañete
    Cañete is a historic town in the province of Cuenca, Spain, known for its medieval architecture and hilltop castle.
  • C. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • D. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • E. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3151350819097b1c375e6df8986 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb13ec908190853627066fb2c492 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbf6dd488190ad624bb6c35ac086 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc633abc8190a86808986ba294ec completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:23 a.m.