Triple

T9874895
Position Surface form Disambiguated ID Type / Status
Subject Perm Krai E240048 entity
Predicate hasCity P316 FINISHED
Object Lysva
Lysva is an industrial city in Perm Krai, Russia, historically known for its metallurgical and machine-building industries.
E826715 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: Lysva | Statement: [Perm Krai, hasCity, Lysva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysva
Context triple: [Perm Krai, hasCity, Lysva]
  • A. River Isbourne
    River Isbourne is a small river in Gloucestershire, England, flowing through the Cotswolds and the town of Winchcombe before joining the River Avon.
  • B. Lindaunis
    Lindaunis is a small village in northern Germany situated along the Schlei inlet in the state of Schleswig-Holstein.
  • C. Lunan Water
    Lunan Water is a river in Angus, Scotland, that flows into the North Sea at the scenic Lunan Bay.
  • D. Hermitage Water
    Hermitage Water is a river in the Scottish Borders that flows past the historic Hermitage Castle and through a remote, rural valley.
  • E. The Lakes
    The Lakes is an upscale residential community in Dubai known for its landscaped lakes, family-friendly environment, and proximity to major developments like Emirates Hills.
  • 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: Lysva
Triple: [Perm Krai, hasCity, Lysva]
Generated description
Lysva is an industrial city in Perm Krai, Russia, historically known for its metallurgical and machine-building industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lysva
Target entity description: Lysva is an industrial city in Perm Krai, Russia, historically known for its metallurgical and machine-building industries.
  • A. River Isbourne
    River Isbourne is a small river in Gloucestershire, England, flowing through the Cotswolds and the town of Winchcombe before joining the River Avon.
  • B. Lindaunis
    Lindaunis is a small village in northern Germany situated along the Schlei inlet in the state of Schleswig-Holstein.
  • C. Lunan Water
    Lunan Water is a river in Angus, Scotland, that flows into the North Sea at the scenic Lunan Bay.
  • D. Hermitage Water
    Hermitage Water is a river in the Scottish Borders that flows past the historic Hermitage Castle and through a remote, rural valley.
  • E. The Lakes
    The Lakes is an upscale residential community in Dubai known for its landscaped lakes, family-friendly environment, and proximity to major developments like Emirates Hills.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f9d82c81908afb4977ce4e3e4a completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e47515788190b6644021e187e771 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e57366748190bf617374264d1873 completed April 5, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69d1e5ed9818819095119c3478f97419 completed April 5, 2026, 4:32 a.m.
Created at: March 30, 2026, 8:37 p.m.