Triple

T7664612
Position Surface form Disambiguated ID Type / Status
Subject PSON E173594 entity
Predicate hasSettlementSystem P12493 FINISHED
Object CREST E42909 NE FINISHED

How this triple was built (3 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: [PSON, hasSettlementSystem, CREST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CREST
Context triple: [PSON, hasSettlementSystem, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSettlementSystem
Context triple: [PSON, hasSettlementSystem, CREST]
  • A. settlementSystem chosen
    Indicates a relationship where a settlement is organized, governed, or structured according to a particular administrative or territorial system.
  • B. hasPortSettlement
    Indicates that a place has a settlement located at or directly associated with a port for maritime or water-based transport.
  • C. isSettlementOf
    Indicates that one entity is a settlement (such as a town, village, or city) that belongs to, is located within, or is administratively part of another entity.
  • D. settlementMode
    Indicates the method or process by which a financial or transactional obligation is settled or completed between parties.
  • E. methodOfSettlement
    Indicates the way in which a transaction, obligation, or dispute is resolved, completed, or paid.
  • F. None of above.

Provenance (4 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4 p.m.