Triple

T1273201
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Cooperation Organisation E15755 entity
Predicate shortName P43 FINISHED
Object ШОС
ШОС — это межправительственная организация, объединяющая ряд стран Евразии для сотрудничества в сфере безопасности, экономики и политики.
E144333 NE FINISHED

How this triple was built (4 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: [Shanghai Cooperation Organisation, shortName, ШОС]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ШОС
Context triple: [Shanghai Cooperation Organisation, shortName, ШОС]
  • A. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • B. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • C. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • D. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • E. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ШОС
Triple: [Shanghai Cooperation Organisation, shortName, ШОС]
Generated description
ШОС — это межправительственная организация, объединяющая ряд стран Евразии для сотрудничества в сфере безопасности, экономики и политики.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ШОС
Target entity description: ШОС — это межправительственная организация, объединяющая ряд стран Евразии для сотрудничества в сфере безопасности, экономики и политики.
  • A. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • B. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • C. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • D. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • E. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • F. None of above. chosen

Provenance (5 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06d73608190be87be49c4367072 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac998e56488190ac3cf51563335e30 completed March 7, 2026, 9:33 p.m.
NEDg Description generation batch_69ac9a14a53481908c45e4e6609a368e completed March 7, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac9a98788881909e316322af87b848 completed March 7, 2026, 9:37 p.m.
Created at: March 1, 2026, 7:50 p.m.