Triple

T2581691
Position Surface form Disambiguated ID Type / Status
Subject Tver Oblast E57105 entity
Predicate contains P35 FINISHED
Object Kimry
Kimry is a small Russian town on the Volga River known historically for its shoemaking industry and wooden architecture.
 E280198 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: Kimry | Statement: [Tver Oblast, contains, Kimry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kimry
Context triple: [Tver Oblast, contains, Kimry]
  • A. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • B. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • C. Kulm
    Kulm, now known as Chełmno in Poland, is a historic town on the Vistula River notable for its medieval architecture and role in the history of Royal Prussia.
  • D. Orphir
    Orphir is a small coastal village and parish on Mainland, Orkney, known for its historic Norse sites and rural island setting.
  • E. Surmiran
    Surmiran is one of the main dialects of the Romansh language, traditionally spoken in the central region of the Swiss canton of Graubünden.
  • 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: Kimry
Triple: [Tver Oblast, contains, Kimry]
Generated description
Kimry is a small Russian town on the Volga River known historically for its shoemaking industry and wooden architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kimry
Target entity description: Kimry is a small Russian town on the Volga River known historically for its shoemaking industry and wooden architecture.
  • A. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • B. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • C. Kulm
    Kulm, now known as Chełmno in Poland, is a historic town on the Vistula River notable for its medieval architecture and role in the history of Royal Prussia.
  • D. Orphir
    Orphir is a small coastal village and parish on Mainland, Orkney, known for its historic Norse sites and rural island setting.
  • E. Surmiran
    Surmiran is one of the main dialects of the Romansh language, traditionally spoken in the central region of the Swiss canton of Graubünden.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657cc2b08190a9055d6da7744851 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af69a66078819084f341b052860751 completed March 10, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69af6a071f1c8190b2a707a0c98ddc94 completed March 10, 2026, 12:47 a.m.
Created at: March 6, 2026, 9:49 p.m.