Triple

T4826150
Position Surface form Disambiguated ID Type / Status
Subject Ryazan Oblast E107829 entity
Predicate hasHistoricCity P3786 FINISHED
Object Skopin
Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
 E472492 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: Skopin | Statement: [Ryazan Oblast, hasHistoricCity, Skopin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skopin
Context triple: [Ryazan Oblast, hasHistoricCity, Skopin]
  • A. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • B. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • C. Mojstrovka
    Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
  • D. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • E. Kapesovo
    Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
  • 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: Skopin
Triple: [Ryazan Oblast, hasHistoricCity, Skopin]
Generated description
Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skopin
Target entity description: Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
  • A. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • B. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • C. Mojstrovka
    Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
  • D. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • E. Kapesovo
    Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dcd3ecc8190a5223f00344019ff completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e61a9a8819096e3c4ba7612de85 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f107e7c8190aec4a7bcf0520ec9 completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:24 p.m.