Triple

T21476313
Position Surface form Disambiguated ID Type / Status
Subject HC Sochi E529869 entity
Predicate countryCode P208 FINISHED
Object RUS NE NERFINISHED

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: RUS | Statement: [HC Sochi, countryCode, RUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RUS
Context triple: [HC Sochi, countryCode, RUS]
  • A. RUS
    RUS is the National Rail station code assigned to Russell Square station in London.
  • B. RUS chosen
    RUS is the three-letter International Olympic Committee country code used to represent Russia in Olympic competitions.
  • C. RUS
    RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
  • D. Rus
    Rus is a prominent Russian MVD special forces unit known for high-risk counter-terrorism and hostage-rescue operations.
  • E. Rus
    Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea187a3c8190b3f33bd760dc1f54 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.