Triple

T1683759
Position Surface form Disambiguated ID Type / Status
Subject CIS E36395 entity
Predicate shortName P43 FINISHED
Object CIS unclear NED1 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: CIS | Statement: [CIS, shortName, CIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIS
Context triple: [CIS, shortName, CIS]
  • A. CIS
    CIS (Canadian Interuniversity Sport) was the former national governing body for university athletics in Canada, overseeing intercollegiate sports competition before being rebranded as U Sports.
  • B. CIS
    The CIS (Commonwealth of Independent States) is a regional intergovernmental organization formed by several former Soviet republics to facilitate cooperation in political, economic, and security matters.
  • C. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • D. CIC
    CIC is the commonly used abbreviation for the Cement Industry Committee, an organization associated with the cement sector.
  • E. SIS
    SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627c29548190b60ee3bc744069a0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71c1b4308190b04fed7ce752b67c completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.