Triple

T8410665
Position Surface form Disambiguated ID Type / Status
Subject Krapivensky Uyezd E198613 entity
Predicate capital P234 FINISHED
Object Krapivna
Krapivna is a historic Russian town that once served as an administrative center in the Tula region.
E734796 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: Krapivna | Statement: [Krapivensky Uyezd, capital, Krapivna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krapivna
Context triple: [Krapivensky Uyezd, capital, Krapivna]
  • A. Pervomaiskyi
    Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
  • B. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • C. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • D. Demänovka
    Demänovka is a river in the Liptov region of northern Slovakia, known for flowing through the Demänovská Valley in the Low Tatras.
  • E. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • 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: Krapivna
Triple: [Krapivensky Uyezd, capital, Krapivna]
Generated description
Krapivna is a historic Russian town that once served as an administrative center in the Tula region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krapivna
Target entity description: Krapivna is a historic Russian town that once served as an administrative center in the Tula region.
  • A. Pervomaiskyi
    Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
  • B. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • C. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • D. Demänovka
    Demänovka is a river in the Liptov region of northern Slovakia, known for flowing through the Demänovská Valley in the Low Tatras.
  • E. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83dec1f08190ae08719e860b29fa completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d3d9f848190bd425b80aa58a376 completed April 2, 2026, 7:39 a.m.
NEDg Description generation batch_69ce2133972881909c7a4b44d6799d9e completed April 2, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69ce21e74d9481908f04b2ab5b57f8a5 completed April 2, 2026, 7:59 a.m.
Created at: March 30, 2026, 6:05 p.m.