Triple

T16592878
Position Surface form Disambiguated ID Type / Status
Subject Belgorod Oblast E403133 entity
Predicate hasCity P316 FINISHED
Object Shebekino
Shebekino is a town in western Russia near the Ukrainian border, known as an industrial center within Belgorod Oblast.
 E1222556 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: Shebekino | Statement: [Belgorod Oblast, hasCity, Shebekino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shebekino
Context triple: [Belgorod Oblast, hasCity, Shebekino]
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Paracho
    Paracho is a town in the Mexican state of Michoacán renowned for its traditional handcrafted guitars and vibrant luthier culture.
  • C. Kamares
    Kamares is a well-preserved Ottoman-era aqueduct in Kavala, Greece, and one of the city’s most recognizable landmarks.
  • D. Calbe
    Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
  • E. Dehu
    Dehu is an Austronesian language spoken primarily on Lifou Island in New Caledonia, where it serves as the traditional language of the indigenous Drehu people.
  • 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: Shebekino
Triple: [Belgorod Oblast, hasCity, Shebekino]
Generated description
Shebekino is a town in western Russia near the Ukrainian border, known as an industrial center within Belgorod Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shebekino
Target entity description: Shebekino is a town in western Russia near the Ukrainian border, known as an industrial center within Belgorod Oblast.
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Paracho
    Paracho is a town in the Mexican state of Michoacán renowned for its traditional handcrafted guitars and vibrant luthier culture.
  • C. Kamares
    Kamares is a well-preserved Ottoman-era aqueduct in Kavala, Greece, and one of the city’s most recognizable landmarks.
  • D. Calbe
    Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
  • E. Dehu
    Dehu is an Austronesian language spoken primarily on Lifou Island in New Caledonia, where it serves as the traditional language of the indigenous Drehu people.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d6fcaa48190b1ba7dc3b792041a completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759dea5c819083fe9fb7dee37a35 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a0076468d588190972639d0a22f0e3e completed May 10, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_6a007728680c819082a3bd7e84edb2b0 completed May 10, 2026, 12:16 p.m.
Created at: April 10, 2026, 5:16 a.m.