Triple

T7108272
Position Surface form Disambiguated ID Type / Status
Subject CEEPUS E165644 entity
Predicate acronym P43 FINISHED
Object CEEPUS E165644 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: CEEPUS | Statement: [CEEPUS, acronym, CEEPUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEEPUS
Context triple: [CEEPUS, acronym, CEEPUS]
  • A. CEEPUS chosen
    CEEPUS (Central European Exchange Program for University Studies) is a multilateral academic mobility and cooperation program that supports student and teacher exchanges among universities in Central and Eastern Europe.
  • B. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • C. CEPES
    CEPES is a regional center of UNESCO focused on higher education in Europe, promoting policy development, research, and international cooperation in the sector.
  • D. CEI
    CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
  • E. CUEUS
    CUEUS (Communauté universitaire et scientifique européenne de Strasbourg) is an academic and scientific community organization based in Strasbourg that promotes collaboration and exchange among European universities and research institutions.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5bbd4e481909e0948d01c6b15f4 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cb4840881908196e447618b38b0 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:42 p.m.