Triple

T10127803
Position Surface form Disambiguated ID Type / Status
Subject GEKE E226258 entity
Predicate hasAlternativeName P39 FINISHED
Object CPCE E226257 NE FINISHED

How this triple was built (2 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: CPCE | Statement: [GEKE, hasAlternativeName, CPCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CPCE
Context triple: [GEKE, hasAlternativeName, CPCE]
  • A. CPCE chosen
    CPCE is the abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches committed to mutual recognition and cooperation across the continent.
  • B. PCE
    PCE is a Spanish communist political party historically influential in anti-Franco resistance and left-wing politics in Spain.
  • C. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • D. CCE
    CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
  • E. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2f0a0e881909267a83fbeb31f0c completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5c29f6c8190b347a6963ca46dac completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:05 p.m.