Triple

T16815223
Position Surface form Disambiguated ID Type / Status
Subject Mołodeczno E408726 entity
Predicate hasNameInRussian P20560 FINISHED
Object Молодечно
Молодечно — город в Минской области Беларуси, являющийся важным региональным центром с развитой инфраструктурой и историческим наследием.
 E1234630 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: Молодечно | Statement: [Mołodeczno, hasNameInRussian, Молодечно]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Молодечно
Context triple: [Mołodeczno, hasNameInRussian, Молодечно]
  • A. Mogilev
    Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
  • B. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • C. Novogrudok
    Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • D. Zhlobin
    Zhlobin is an industrial city in southeastern Belarus, known especially for its major steel production facilities and location on the Dnieper River.
  • E. Mogilev-Podilskyi
    Mogilev-Podilskyi is a historic city in western Ukraine near the Moldovan border, known as a regional transport and trade hub along the Dniester River.
  • 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: Молодечно
Triple: [Mołodeczno, hasNameInRussian, Молодечно]
Generated description
Молодечно — город в Минской области Беларуси, являющийся важным региональным центром с развитой инфраструктурой и историческим наследием.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Молодечно
Target entity description: Молодечно — город в Минской области Беларуси, являющийся важным региональным центром с развитой инфраструктурой и историческим наследием.
  • A. Mogilev
    Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
  • B. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • C. Novogrudok
    Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • D. Zhlobin
    Zhlobin is an industrial city in southeastern Belarus, known especially for its major steel production facilities and location on the Dnieper River.
  • E. Mogilev-Podilskyi
    Mogilev-Podilskyi is a historic city in western Ukraine near the Moldovan border, known as a regional transport and trade hub along the Dniester River.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2946ddc81908b1e7c662dc943ff completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3aafac08190b3e0181780f45392 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b46ab0608190bc59abb99842e6d4 completed May 10, 2026, 4:38 p.m.
Created at: April 10, 2026, 5:23 a.m.