Triple

T4465617
Position Surface form Disambiguated ID Type / Status
Subject Kyiv Metro E98369 entity
Predicate hasStation P35 FINISHED
Object Teremky
Teremky is a metro station on the Kyiv Metro system in Ukraine, serving as a transport hub for the Teremky residential area in the city’s southwestern part.
E442316 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: Teremky | Statement: [Kyiv Metro, hasStation, Teremky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teremky
Context triple: [Kyiv Metro, hasStation, Teremky]
  • A. Kastanitsa
    Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
  • B. Manevychi
    Manevychi is a small urban-type settlement in northwestern Ukraine, situated within Volyn Oblast and known for its surrounding forests and lakes.
  • C. Shmyhal
    Shmyhal is the surname of Denys Shmyhal, a Ukrainian politician who has served as Prime Minister of Ukraine.
  • D. Ropsha
    Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • E. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • 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: Teremky
Triple: [Kyiv Metro, hasStation, Teremky]
Generated description
Teremky is a metro station on the Kyiv Metro system in Ukraine, serving as a transport hub for the Teremky residential area in the city’s southwestern part.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teremky
Target entity description: Teremky is a metro station on the Kyiv Metro system in Ukraine, serving as a transport hub for the Teremky residential area in the city’s southwestern part.
  • A. Kastanitsa
    Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
  • B. Manevychi
    Manevychi is a small urban-type settlement in northwestern Ukraine, situated within Volyn Oblast and known for its surrounding forests and lakes.
  • C. Shmyhal
    Shmyhal is the surname of Denys Shmyhal, a Ukrainian politician who has served as Prime Minister of Ukraine.
  • D. Ropsha
    Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • E. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356991a588190be2f95fd957d7f99 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62860151c8190b43465537b154f00 completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b62c3bf15c8190826f93c4c43733e6 completed March 15, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69b62cbaef8c8190b5d89a607c76eaf7 completed March 15, 2026, 3:51 a.m.
Created at: March 12, 2026, 11:34 p.m.