Triple

T4933587
Position Surface form Disambiguated ID Type / Status
Subject Kyiv Oblast E110754 entity
Predicate contains P35 FINISHED
Object Obukhiv
Obukhiv is a town in central Ukraine that serves as an industrial and administrative center within the Kyiv metropolitan region.
 E481920 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: Obukhiv | Statement: [Kyiv Oblast, contains, Obukhiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Obukhiv
Context triple: [Kyiv Oblast, contains, Obukhiv]
  • A. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • B. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • C. Ovruch
    Ovruch is a historic town in northern Ukraine, known for its medieval origins and cultural significance in the Polesia region.
  • D. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • E. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • 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: Obukhiv
Triple: [Kyiv Oblast, contains, Obukhiv]
Generated description
Obukhiv is a town in central Ukraine that serves as an industrial and administrative center within the Kyiv metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Obukhiv
Target entity description: Obukhiv is a town in central Ukraine that serves as an industrial and administrative center within the Kyiv metropolitan region.
  • A. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • B. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • C. Ovruch
    Ovruch is a historic town in northern Ukraine, known for its medieval origins and cultural significance in the Polesia region.
  • D. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • E. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70652d988190ba4a493db510952e completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b41c4c8190b4f714334242bc9b completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be7b9611a881908e83086719406145 completed March 21, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69be7ce630248190b274547eaa15fe85 completed March 21, 2026, 11:11 a.m.
Created at: March 20, 2026, 1:30 p.m.