Triple

T9289246
Position Surface form Disambiguated ID Type / Status
Subject CRESTCo Limited E223473 entity
Predicate operatedSystem P3941 FINISHED
Object CREST E42909 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: CREST | Statement: [CRESTCo Limited, operatedSystem, CREST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CREST
Context triple: [CRESTCo Limited, operatedSystem, CREST]
  • A. CREST chosen
    CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
  • B. CRESTCo Limited
    CRESTCo Limited was the company that operated the UK’s CREST electronic securities settlement system before its functions were taken over by Euroclear.
  • C. Cres
    Cres is a large Croatian island in the northern Adriatic Sea, known for its rugged coastline, pristine nature, and traditional coastal towns.
  • D. CREI
    CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
  • E. Cresserons
    Cresserons is a small commune in the Calvados department of the Normandy region in northwestern France.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0862b34c819097cb7c1777313925 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c766fb408190a9f073f033652b6f completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:35 p.m.