Triple

T17709802
Position Surface form Disambiguated ID Type / Status
Subject Syretsko–Pecherska line E441532 entity
Predicate hasStation P35 FINISHED
Object Dorohozhychi
Dorohozhychi is a station on the Kyiv Metro system in Ukraine.
E1294161 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: Dorohozhychi | Statement: [Syretsko–Pecherska line, hasStation, Dorohozhychi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorohozhychi
Context triple: [Syretsko–Pecherska line, hasStation, Dorohozhychi]
  • A. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • B. Oleksandrychka
    Oleksandrychka is a Ukrainian affectionate diminutive form of the female given name Oleksandra.
  • C. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • D. Sahaidachny
    Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
  • E. 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.
  • 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: Dorohozhychi
Triple: [Syretsko–Pecherska line, hasStation, Dorohozhychi]
Generated description
Dorohozhychi is a station on the Kyiv Metro system in Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dorohozhychi
Target entity description: Dorohozhychi is a station on the Kyiv Metro system in Ukraine.
  • A. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • B. Oleksandrychka
    Oleksandrychka is a Ukrainian affectionate diminutive form of the female given name Oleksandra.
  • C. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • D. Sahaidachny
    Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
  • E. 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.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729a9a9c81908d65ff0bda12c961 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313b1cf208190849daf955b6a1a28 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a03150b9f7c8190a50e8f61a0922ba3 completed May 12, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0315a8d6e88190b6d532f22dd8088c completed May 12, 2026, 11:57 a.m.
Created at: April 10, 2026, 10:05 a.m.