Triple

T10793111
Position Surface form Disambiguated ID Type / Status
Subject Alfonso I of Aragon E254632 entity
Predicate deathPlace P21 FINISHED
Object Poleñino
Poleñino is a small municipality in the province of Huesca, Aragon, Spain, historically noted as the place where King Alfonso I of Aragon died.
 E885433 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: Poleñino | Statement: [Alfonso I of Aragon, deathPlace, Poleñino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poleñino
Context triple: [Alfonso I of Aragon, deathPlace, Poleñino]
  • A. Fariña
    Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
  • B. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • C. Serrano
    Serrano was a Chilean naval officer and war hero, notably associated with the naval battles of the War of the Pacific.
  • D. Serrano
    Serrano are an Indigenous people of Southern California traditionally inhabiting the San Bernardino Mountains and surrounding desert regions.
  • E. Canillejas
    Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, 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: Poleñino
Triple: [Alfonso I of Aragon, deathPlace, Poleñino]
Generated description
Poleñino is a small municipality in the province of Huesca, Aragon, Spain, historically noted as the place where King Alfonso I of Aragon died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poleñino
Target entity description: Poleñino is a small municipality in the province of Huesca, Aragon, Spain, historically noted as the place where King Alfonso I of Aragon died.
  • A. Fariña
    Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
  • B. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • C. Serrano
    Serrano was a Chilean naval officer and war hero, notably associated with the naval battles of the War of the Pacific.
  • D. Serrano
    Serrano are an Indigenous people of Southern California traditionally inhabiting the San Bernardino Mountains and surrounding desert regions.
  • E. Canillejas
    Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.