Triple

T6133688
Position Surface form Disambiguated ID Type / Status
Subject CEMS – The Global Alliance in Management Education E136780 entity
Predicate abbreviation P43 FINISHED
Object CEMS E571420 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: CEMS | Statement: [CEMS – The Global Alliance in Management Education, abbreviation, CEMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEMS
Context triple: [CEMS – The Global Alliance in Management Education, abbreviation, CEMS]
  • A. CEMS chosen
    CEMS is a global alliance of leading business schools, multinational companies, and NGOs that collaborates to offer an internationally focused Master’s in Management and promote high-standard management education worldwide.
  • B. CEMA
    CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
  • C. CEMM
    CEMM is the official abbreviation for the Chief of Staff of the French Navy, the highest-ranking officer responsible for commanding and overseeing France’s naval forces.
  • D. CSM
    CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • E. CCS
    CCS is the Crown Commercial Service, a UK government agency that helps public sector organizations procure goods and services efficiently and cost-effectively.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c7f34d081909e589b201b22be21 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1416e8fa8819092bf830cbaa56647 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:15 p.m.