Triple

T15232897
Position Surface form Disambiguated ID Type / Status
Subject Province of Badajoz E364048 entity
Predicate contains P35 FINISHED
Object Zafra
Zafra is a historic town in southwestern Spain known for its well-preserved medieval architecture and role as a commercial and cultural center in the Extremadura region.
E1155199 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: Zafra | Statement: [Province of Badajoz, contains, Zafra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zafra
Context triple: [Province of Badajoz, contains, Zafra]
  • A. El Ejido
    El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
  • B. Zagora
    Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
  • C. Zagora
    Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
  • D. Jumilla
    Jumilla is a Spanish wine region in the province of Murcia, renowned for its robust red wines, particularly those made from the Mourvèdre (Monastrell) grape.
  • E. Tetuan
    Tetuan is a Barcelona Metro station on line 2 located beneath Plaça de Tetuan in the Eixample district of Barcelona, Spain.
  • 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: Zafra
Triple: [Province of Badajoz, contains, Zafra]
Generated description
Zafra is a historic town in southwestern Spain known for its well-preserved medieval architecture and role as a commercial and cultural center in the Extremadura region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zafra
Target entity description: Zafra is a historic town in southwestern Spain known for its well-preserved medieval architecture and role as a commercial and cultural center in the Extremadura region.
  • A. El Ejido
    El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
  • B. Zagora
    Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
  • C. Zagora
    Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
  • D. Jumilla
    Jumilla is a Spanish wine region in the province of Murcia, renowned for its robust red wines, particularly those made from the Mourvèdre (Monastrell) grape.
  • E. Tetuan
    Tetuan is a Barcelona Metro station on line 2 located beneath Plaça de Tetuan in the Eixample district of Barcelona, Spain.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff133950288190a5ffeb52ee0bac37 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff145ac8e081908b075cee67e82aa3 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff1509e5a48190b69f1a44d793e07d completed May 9, 2026, 11:05 a.m.
Created at: April 10, 2026, 3:12 a.m.