Triple

T9715154
Position Surface form Disambiguated ID Type / Status
Subject Rossikon E235123 entity
Predicate alsoKnownAs P39 FINISHED
Object Russikon
Russikon is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
 E817071 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: Russikon | Statement: [Rossikon, alsoKnownAs, Russikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Russikon
Context triple: [Rossikon, alsoKnownAs, Russikon]
  • A. Rechitsa
    Rechitsa is a historic town in southeastern Belarus, situated on the Dnieper River and known as one of the country’s oldest settlements.
  • B. Kuban
    Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
  • C. Tulskaya
    Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
  • D. Swerdlov
    Swerdlov is an alternative transliteration of the Russian surname "Sverdlov," most notably associated with Bolshevik revolutionary leader Yakov Sverdlov.
  • E. Berland River
    The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
  • 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: Russikon
Triple: [Rossikon, alsoKnownAs, Russikon]
Generated description
Russikon is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Russikon
Target entity description: Russikon is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
  • A. Rechitsa
    Rechitsa is a historic town in southeastern Belarus, situated on the Dnieper River and known as one of the country’s oldest settlements.
  • B. Kuban
    Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
  • C. Tulskaya
    Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
  • D. Swerdlov
    Swerdlov is an alternative transliteration of the Russian surname "Sverdlov," most notably associated with Bolshevik revolutionary leader Yakov Sverdlov.
  • E. Berland River
    The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f900ca08190a52f042feab2afa3 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a181f10081908bfb0fae5a08462f completed April 4, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69d1a228b8488190a5a61f3468e92649 completed April 4, 2026, 11:43 p.m.
Created at: March 30, 2026, 8:20 p.m.