Triple

T9400477
Position Surface form Disambiguated ID Type / Status
Subject Miroslav Tyrš E226453 entity
Predicate coFounded P104 FINISHED
Object Sokol
Sokol is a Czech-based gymnastics and physical education movement and organization that became a key force in promoting national identity, civic values, and mass fitness across Central Europe.
E795681 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: Sokol | Statement: [Miroslav Tyrš, coFounded, Sokol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokol
Context triple: [Miroslav Tyrš, coFounded, Sokol]
  • A. Sokol
    Sokol is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Sokol District in the north of the city.
  • B. Sokol
    Sokol is a town in Russia known as an industrial and administrative center within Vologda Oblast.
  • C. Sokol
    Sokol is a small settlement in Russia’s Magadan Oblast that serves as the community adjacent to and associated with Magadan Airport.
  • D. Sokol Kiev
    Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
  • E. Sokolka
    Sokolka is a town in present-day northeastern Poland, historically part of the Grodno region, known for its multicultural heritage and role as a local administrative and trade center.
  • 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: Sokol
Triple: [Miroslav Tyrš, coFounded, Sokol]
Generated description
Sokol is a Czech-based gymnastics and physical education movement and organization that became a key force in promoting national identity, civic values, and mass fitness across Central Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sokol
Target entity description: Sokol is a Czech-based gymnastics and physical education movement and organization that became a key force in promoting national identity, civic values, and mass fitness across Central Europe.
  • A. Sokol
    Sokol is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Sokol District in the north of the city.
  • B. Sokol
    Sokol is a town in Russia known as an industrial and administrative center within Vologda Oblast.
  • C. Sokol
    Sokol is a small settlement in Russia’s Magadan Oblast that serves as the community adjacent to and associated with Magadan Airport.
  • D. Sokol Kiev
    Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
  • E. Sokolka
    Sokolka is a town in present-day northeastern Poland, historically part of the Grodno region, known for its multicultural heritage and role as a local administrative and trade center.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5156b9588190bafb6b1c3ee3c0ed completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012753088190bc73b7c577109e76 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d101aee16481909576ea5d8407beb5 completed April 4, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69d1024cfedc81908a97b5fe4970719a completed April 4, 2026, 12:21 p.m.
Created at: March 30, 2026, 7:46 p.m.