Triple

T4578012
Position Surface form Disambiguated ID Type / Status
Subject ICE Clear U.S. E101785 entity
Predicate relatedOrganization P37 FINISHED
Object ICE Clear Europe E101786 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: ICE Clear Europe | Statement: [ICE Clear U.S., relatedOrganization, ICE Clear Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICE Clear Europe
Context triple: [ICE Clear U.S., relatedOrganization, ICE Clear Europe]
  • A. ICE Clear Europe chosen
    ICE Clear Europe is a leading London-based clearing house that provides central counterparty clearing services for derivatives and other financial instruments across European markets.
  • B. ICE Clear U.S.
    ICE Clear U.S. is a U.S.-based clearinghouse that provides central counterparty clearing and risk management services for futures and options markets operated by Intercontinental Exchange.
  • C. ICC Europe
    ICC Europe is the regional governing body responsible for overseeing and developing cricket across European associate and affiliate member countries.
  • D. Europol
    Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
  • E. Europaeum
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e2a1808190be4582d5b3003d6c completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde09015c48190b4f992f3f95023cf completed March 21, 2026, 12:04 a.m.
Created at: March 20, 2026, 1:10 p.m.