Triple

T9313557
Position Surface form Disambiguated ID Type / Status
Subject Minsk Region E224062 entity
Predicate contains P35 FINISHED
Object Molodechno
Molodechno is a city in northwestern Belarus that serves as an important cultural and transportation hub within the Minsk Region.
E791352 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: Molodechno | Statement: [Minsk Region, contains, Molodechno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molodechno
Context triple: [Minsk Region, contains, Molodechno]
  • A. Svitlovodsk
    Svitlovodsk is a city in central Ukraine located on the banks of the Dnieper River, known for its hydroelectric power station and industrial facilities.
  • B. Mikolow
    Mikolow is a town in southern Poland’s Silesian Voivodeship, known for its historic center and proximity to the regional capital Katowice.
  • C. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • D. Volnovakha
    Volnovakha is a town in eastern Ukraine that serves as an important local administrative and transport hub within Donetsk Oblast.
  • E. Debaltseve
    Debaltseve is a strategically important railway and road junction city in eastern Ukraine’s Donetsk Oblast, known for being a major flashpoint in the war in Donbas.
  • 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: Molodechno
Triple: [Minsk Region, contains, Molodechno]
Generated description
Molodechno is a city in northwestern Belarus that serves as an important cultural and transportation hub within the Minsk Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Molodechno
Target entity description: Molodechno is a city in northwestern Belarus that serves as an important cultural and transportation hub within the Minsk Region.
  • A. Svitlovodsk
    Svitlovodsk is a city in central Ukraine located on the banks of the Dnieper River, known for its hydroelectric power station and industrial facilities.
  • B. Mikolow
    Mikolow is a town in southern Poland’s Silesian Voivodeship, known for its historic center and proximity to the regional capital Katowice.
  • C. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • D. Volnovakha
    Volnovakha is a town in eastern Ukraine that serves as an important local administrative and transport hub within Donetsk Oblast.
  • E. Debaltseve
    Debaltseve is a strategically important railway and road junction city in eastern Ukraine’s Donetsk Oblast, known for being a major flashpoint in the war in Donbas.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7a0adc4819097ac906f03f0188e completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0c8a7190c819097e71c15f7924268 completed April 4, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69d0c9e7e7d08190bddc6786f0fcea9e completed April 4, 2026, 8:20 a.m.
Created at: March 30, 2026, 7:37 p.m.