Triple

T11827443
Position Surface form Disambiguated ID Type / Status
Subject Espinar Province E281292 entity
Predicate capital P234 FINISHED
Object Espinar
Espinar is a town in southern Peru that serves as an administrative and commercial center in the Andean highlands.
 E949726 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: Espinar | Statement: [Espinar Province, capital, Espinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Espinar
Context triple: [Espinar Province, capital, Espinar]
  • A. Escalona
    Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
  • B. Cangas de Onís
    Cangas de Onís is a historic town in northern Spain’s Asturias region, known as the first capital of the Kingdom of Asturias and a gateway to the Picos de Europa.
  • C. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • D. Espín
    Espín is a Spanish surname notably borne by Cuban revolutionary and feminist leader Vilma Espín.
  • E. Arozarena
    Arozarena is the surname of Randy Arozarena, a Cuban-Mexican professional baseball outfielder known for his standout postseason performances in Major League Baseball.
  • 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: Espinar
Triple: [Espinar Province, capital, Espinar]
Generated description
Espinar is a town in southern Peru that serves as an administrative and commercial center in the Andean highlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Espinar
Target entity description: Espinar is a town in southern Peru that serves as an administrative and commercial center in the Andean highlands.
  • A. Escalona
    Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
  • B. Cangas de Onís
    Cangas de Onís is a historic town in northern Spain’s Asturias region, known as the first capital of the Kingdom of Asturias and a gateway to the Picos de Europa.
  • C. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • D. Espín
    Espín is a Spanish surname notably borne by Cuban revolutionary and feminist leader Vilma Espín.
  • E. Arozarena
    Arozarena is the surname of Randy Arozarena, a Cuban-Mexican professional baseball outfielder known for his standout postseason performances in Major League Baseball.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1671989f88190b8c1fb520435a25e completed April 29, 2026, 2:04 a.m.
NEDg Description generation batch_69f16e31ebfc81908255e24b96bf9a99 completed April 29, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69f1a09eae7481908200709ae9721d53 completed April 29, 2026, 6:09 a.m.
Created at: April 8, 2026, 9:43 p.m.