Triple

T9293078
Position Surface form Disambiguated ID Type / Status
Subject Luis Buñuel E223568 entity
Predicate birthPlace P1 FINISHED
Object Calanda
Calanda is a small town in the Aragon region of northeastern Spain, known as the birthplace of filmmaker Luis Buñuel and for its dramatic Holy Week drum processions.
 E789801 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: Calanda | Statement: [Luis Buñuel, birthPlace, Calanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Calanda
Context triple: [Luis Buñuel, birthPlace, Calanda]
  • A. Torrenova
    Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
  • B. Barbeya
    Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
  • C. Caliari
    Caliari is the Italian family name of the Renaissance painter Paolo Veronese and his artistic relatives from Verona.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • 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: Calanda
Triple: [Luis Buñuel, birthPlace, Calanda]
Generated description
Calanda is a small town in the Aragon region of northeastern Spain, known as the birthplace of filmmaker Luis Buñuel and for its dramatic Holy Week drum processions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Calanda
Target entity description: Calanda is a small town in the Aragon region of northeastern Spain, known as the birthplace of filmmaker Luis Buñuel and for its dramatic Holy Week drum processions.
  • A. Torrenova
    Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
  • B. Barbeya
    Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
  • C. Caliari
    Caliari is the Italian family name of the Renaissance painter Paolo Veronese and his artistic relatives from Verona.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0898b3288190a627a58bfd9c57fe completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b241251c81909aa4e8bcf5cd9c2e completed April 4, 2026, 6:40 a.m.
NEDg Description generation batch_69d0b3324e7c8190b928928bbfbdbadf completed April 4, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69d0b3d40da08190b25118a0901728da completed April 4, 2026, 6:46 a.m.
Created at: March 30, 2026, 7:35 p.m.