Triple

T8583630
Position Surface form Disambiguated ID Type / Status
Subject Ostrogozhsk–Rossosh area E203246 entity
Predicate namedAfter P63 FINISHED
Object Ostrogozhsk
Ostrogozhsk is a historic town in Voronezh Oblast, Russia, known as a regional center with roots dating back to the 17th century.
 E810398 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: Ostrogozhsk | Statement: [Ostrogozhsk–Rossosh area, namedAfter, Ostrogozhsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ostrogozhsk
Context triple: [Ostrogozhsk–Rossosh area, namedAfter, Ostrogozhsk]
  • A. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • B. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • C. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • D. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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: Ostrogozhsk
Triple: [Ostrogozhsk–Rossosh area, namedAfter, Ostrogozhsk]
Generated description
Ostrogozhsk is a historic town in Voronezh Oblast, Russia, known as a regional center with roots dating back to the 17th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ostrogozhsk
Target entity description: Ostrogozhsk is a historic town in Voronezh Oblast, Russia, known as a regional center with roots dating back to the 17th century.
  • A. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • B. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • C. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • D. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1ecc188190bbe2ab8d2423505b completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d178a6467c8190aab201fb12d2a64e completed April 4, 2026, 8:46 p.m.
NEDg Description generation batch_69d17b5514d881909cd5357ce21649a8 completed April 4, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_69d17bb23b68819083a54ff8a19f741c completed April 4, 2026, 8:59 p.m.
Created at: March 30, 2026, 6:22 p.m.