Triple

T8982267
Position Surface form Disambiguated ID Type / Status
Subject Kirovohrad Oblast E214559 entity
Predicate containsCity P294 FINISHED
Object Znamianka
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
 E769055 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: Znamianka | Statement: [Kirovohrad Oblast, containsCity, Znamianka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Znamianka
Context triple: [Kirovohrad Oblast, containsCity, Znamianka]
  • A. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • B. Podyjí
    Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
  • C. Beránek
    Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
  • D. Zahlé
    Zahlé is a major Lebanese city known for its vineyards, cuisine, and scenic location along the Berdawni River in the Beqaa region.
  • E. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • 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: Znamianka
Triple: [Kirovohrad Oblast, containsCity, Znamianka]
Generated description
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Znamianka
Target entity description: Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • A. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • B. Podyjí
    Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
  • C. Beránek
    Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
  • D. Zahlé
    Zahlé is a major Lebanese city known for its vineyards, cuisine, and scenic location along the Berdawni River in the Beqaa region.
  • E. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a891e881909e4b84ed82491651 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc97617908190859d1e27248f43cf completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca211ea48190973fcf3c9fe68929 completed April 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69cfca84937881909707497d733218e5 completed April 3, 2026, 2:11 p.m.
Created at: March 30, 2026, 7:03 p.m.