Triple

T8949233
Position Surface form Disambiguated ID Type / Status
Subject Belevsky Uyezd E213300 entity
Predicate administrativeCenter P1474 FINISHED
Object Belev
Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
 E768301 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: Belev | Statement: [Belevsky Uyezd, administrativeCenter, Belev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belev
Context triple: [Belevsky Uyezd, administrativeCenter, Belev]
  • A. Balasinor
    Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
  • B. Berriane
    Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
  • C. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • D. Overath
    Overath is a small town in western Germany’s North Rhine-Westphalia, situated near Cologne within the broader Rhine-Ruhr urban area.
  • E. Thal City
    Thal City is a major settlement of the Thal people on the planet Skaro in the Doctor Who universe, often depicted in contrast to the Dalek-controlled areas of the world.
  • 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: Belev
Triple: [Belevsky Uyezd, administrativeCenter, Belev]
Generated description
Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belev
Target entity description: Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
  • A. Balasinor
    Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
  • B. Berriane
    Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
  • C. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • D. Overath
    Overath is a small town in western Germany’s North Rhine-Westphalia, situated near Cologne within the broader Rhine-Ruhr urban area.
  • E. Thal City
    Thal City is a major settlement of the Thal people on the planet Skaro in the Doctor Who universe, often depicted in contrast to the Dalek-controlled areas of the world.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670b5f50819080f1c73992fe5281 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc206550c8190abf016f25b14fa64 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc3f170a08190a2cab07eb280ee3b completed April 3, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfc476204481909f0baaf400483f33 completed April 3, 2026, 1:45 p.m.
Created at: March 30, 2026, 6:59 p.m.