Triple

T10169824
Position Surface form Disambiguated ID Type / Status
Subject Voronezh Oblast E235300 entity
Predicate containsCity P294 FINISHED
Object Liski
Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
E845960 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: Liski | Statement: [Voronezh Oblast, containsCity, Liski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liski
Context triple: [Voronezh Oblast, containsCity, Liski]
  • A. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • B. Liausson
    Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
  • C. Lapua
    Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
  • D. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • E. Lieksa
    Lieksa is a small town and municipality in eastern Finland known for its forests, lakes, and proximity to Koli National Park.
  • 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: Liski
Triple: [Voronezh Oblast, containsCity, Liski]
Generated description
Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liski
Target entity description: Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
  • A. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • B. Liausson
    Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
  • C. Lapua
    Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
  • D. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • E. Lieksa
    Lieksa is a small town and municipality in eastern Finland known for its forests, lakes, and proximity to Koli National Park.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9ba56481908b5265aea8ea8cbe completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300f7aafc8190be874efc755bd188 completed April 6, 2026, 12:40 a.m.
NEDg Description generation batch_69d30255c7408190a56764f3d3f36ee2 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30343f4b081909eb80c772f6847bd completed April 6, 2026, 12:50 a.m.
Created at: March 30, 2026, 9:10 p.m.