Triple

T4465618
Position Surface form Disambiguated ID Type / Status
Subject Kyiv Metro E98369 entity
Predicate hasStation P35 FINISHED
Object Syrets
Syrets is a metro station on the Kyiv Metro system in Ukraine, serving the Syrets neighborhood in the city.
 E442317 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: Syrets | Statement: [Kyiv Metro, hasStation, Syrets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Syrets
Context triple: [Kyiv Metro, hasStation, Syrets]
  • A. Bakhtrioni
    Bakhtrioni is a celebrated narrative poem by Georgian writer Vazha-Pshavela, known for its patriotic themes and vivid depiction of highland life and resistance.
  • B. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • C. Tsakhurs
    Tsakhurs are a Northeast Caucasian ethnic group traditionally inhabiting mountainous regions of present-day Azerbaijan and Dagestan, known for their distinct language and rich folk culture.
  • D. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • E. Sarakatsani
    The Sarakatsani are a traditionally transhumant, Greek-speaking shepherd people of the Balkans, known for their distinctive pastoral culture, folk art, and conservative social customs.
  • 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: Syrets
Triple: [Kyiv Metro, hasStation, Syrets]
Generated description
Syrets is a metro station on the Kyiv Metro system in Ukraine, serving the Syrets neighborhood in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Syrets
Target entity description: Syrets is a metro station on the Kyiv Metro system in Ukraine, serving the Syrets neighborhood in the city.
  • A. Bakhtrioni
    Bakhtrioni is a celebrated narrative poem by Georgian writer Vazha-Pshavela, known for its patriotic themes and vivid depiction of highland life and resistance.
  • B. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • C. Tsakhurs
    Tsakhurs are a Northeast Caucasian ethnic group traditionally inhabiting mountainous regions of present-day Azerbaijan and Dagestan, known for their distinct language and rich folk culture.
  • D. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • E. Sarakatsani
    The Sarakatsani are a traditionally transhumant, Greek-speaking shepherd people of the Balkans, known for their distinctive pastoral culture, folk art, and conservative social customs.
  • 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.