Triple

T22671659
Position Surface form Disambiguated ID Type / Status
Subject Ribera Alta del Ebro E560231 entity
Predicate contains P35 FINISHED
Object Boquiñeni
Boquiñeni is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, northeastern Spain.
E1548671 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: Boquiñeni | Statement: [Ribera Alta del Ebro, contains, Boquiñeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boquiñeni
Context triple: [Ribera Alta del Ebro, contains, Boquiñeni]
  • A. Oquendo
    Oquendo is a Spanish surname of Basque origin borne by various notable historical and contemporary figures.
  • B. Piojó
    Piojó is a small municipality and town in northern Colombia, located in the Caribbean region within the department of Atlántico.
  • C. O’Donojú
    O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
  • D. Werdenberg
    Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
  • E. Farruco
    Farruco was a renowned Spanish flamenco dancer and choreographer, celebrated for his powerful, traditional style and influential artistic legacy.
  • 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: Boquiñeni
Triple: [Ribera Alta del Ebro, contains, Boquiñeni]
Generated description
Boquiñeni is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, northeastern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boquiñeni
Target entity description: Boquiñeni is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, northeastern Spain.
  • A. Oquendo
    Oquendo is a Spanish surname of Basque origin borne by various notable historical and contemporary figures.
  • B. Piojó
    Piojó is a small municipality and town in northern Colombia, located in the Caribbean region within the department of Atlántico.
  • C. O’Donojú
    O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
  • D. Werdenberg
    Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
  • E. Farruco
    Farruco was a renowned Spanish flamenco dancer and choreographer, celebrated for his powerful, traditional style and influential artistic legacy.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73ed2d588190a9d9382c11fbb1a5 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7505c99081908a9faac30451e6e8 completed May 18, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b761510b48190a09722be3fca7e93 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:10 p.m.