Triple

T5498987
Position Surface form Disambiguated ID Type / Status
Subject CERN Council E144279 entity
Predicate reportsTo P258 FINISHED
Object CERN Member States E98438 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: CERN Member States | Statement: [CERN Council, reportsTo, CERN Member States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CERN Member States
Context triple: [CERN Council, reportsTo, CERN Member States]
  • A. CERN member states chosen
    CERN member states are the countries that formally participate in and finance CERN, shaping its scientific program and governance.
  • B. IAEA Member States
    IAEA Member States are the sovereign countries that collectively govern the International Atomic Energy Agency and shape its policies, programs, and oversight.
  • C. ITU Member States
    ITU Member States are the sovereign countries that collectively govern the International Telecommunication Union and shape global standards and policies for information and communication technologies.
  • D. CERN
    CERN is the European Organization for Nuclear Research, renowned for its large particle accelerators and fundamental physics experiments that have led to major discoveries such as the Higgs boson.
  • E. CERN
    CERN is the stock ticker symbol for Cerner Corporation, a major American health information technology company known for its electronic health record systems.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b9050d08190b0cfcfdb5d414476 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04c9c78308190935c3fbbaff08b70 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:32 p.m.