Triple

T17093958
Position Surface form Disambiguated ID Type / Status
Subject Casablanca Stock Exchange E414792 entity
Predicate abbreviation P43 FINISHED
Object CSE E414792 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: CSE | Statement: [Casablanca Stock Exchange, abbreviation, CSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSE
Context triple: [Casablanca Stock Exchange, abbreviation, CSE]
  • A. CSE
    CSE is an acronym commonly used for the Certificate of Secondary Education, a former UK school-leaving qualification replaced by the GCSE system.
  • B. CSE
    CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
  • C. CSE chosen
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • D. CSE
    CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
  • E. CSE
    CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.