Triple

T10362975
Position Surface form Disambiguated ID Type / Status
Subject Candidatura d'Unitat Popular E244181 entity
Predicate shortName P43 FINISHED
Object CUP
CUP is a left-wing, pro-Catalan independence political party active primarily in Catalonia and advocating grassroots democracy and social justice.
 E858051 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: CUP | Statement: [Candidatura d'Unitat Popular, shortName, CUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUP
Context triple: [Candidatura d'Unitat Popular, shortName, CUP]
  • A. CUP
    CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
  • B. CUP
    The CUP is the official Cuban peso currency code used in international financial and currency exchange contexts.
  • C. CUP
    The Committee of Union and Progress (CUP) was a dominant early 20th-century Ottoman political organization and ruling party associated with the Young Turk movement and the empire’s final years.
  • D. CUP
    CUP is the National Rail station code for Cupar railway station in Fife, Scotland.
  • E. CUPAR
    CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
  • 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: CUP
Triple: [Candidatura d'Unitat Popular, shortName, CUP]
Generated description
CUP is a left-wing, pro-Catalan independence political party active primarily in Catalonia and advocating grassroots democracy and social justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUP
Target entity description: CUP is a left-wing, pro-Catalan independence political party active primarily in Catalonia and advocating grassroots democracy and social justice.
  • A. CUP
    CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
  • B. CUP
    The CUP is the official Cuban peso currency code used in international financial and currency exchange contexts.
  • C. CUP
    The Committee of Union and Progress (CUP) was a dominant early 20th-century Ottoman political organization and ruling party associated with the Young Turk movement and the empire’s final years.
  • D. CUP
    CUP is the National Rail station code for Cupar railway station in Fife, Scotland.
  • E. CUPAR
    CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e962f08c8190a7ac489dc524510d completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750bcf00081909b44ffa5df76aec1 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618fac288190a5da7549e5ccbdf0 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77060331c8190a773a5f9ffadf1d6 completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, noon