Triple

T5559978
Position Surface form Disambiguated ID Type / Status
Subject SCO E145740 entity
Predicate abbreviation P43 FINISHED
Object ШОС E144333 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: ШОС | Statement: [SCO, abbreviation, ШОС]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ШОС
Context triple: [SCO, abbreviation, ШОС]
  • A. ШОС chosen
    ШОС — это межправительственная организация, объединяющая ряд стран Евразии для сотрудничества в сфере безопасности, экономики и политики.
  • B. ŠA
    ŠA is the regional vehicle registration code used on license plates for the city of Šabac in Serbia.
  • C. SOŠV
    SOŠV is the Slovak Olympic and Sports Committee, the national body responsible for organizing Slovakia’s participation in the Olympic Games and promoting the Olympic movement in the country.
  • D. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • E. SHU
    SHU is the common abbreviation for Sheffield United Football Club, a professional football team based in Sheffield, South Yorkshire, England.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020167afc8190b0c518907cd0d99b completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028424ddc8190869b530a8eb43f50 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:36 p.m.