Triple

T15941553
Position Surface form Disambiguated ID Type / Status
Subject Mezen River E386575 entity
Predicate hasCityOnRiver P17819 FINISHED
Object Mezen
Mezen is a small town in northern Russia’s Arkhangelsk Oblast, known for its remote Arctic location and traditional wooden architecture.
 E1184666 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: Mezen | Statement: [Mezen River, hasCityOnRiver, Mezen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mezen
Context triple: [Mezen River, hasCityOnRiver, Mezen]
  • A. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • B. Mozhaisk
    Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
  • C. Zvenigorod
    Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
  • D. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • E. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • 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: Mezen
Triple: [Mezen River, hasCityOnRiver, Mezen]
Generated description
Mezen is a small town in northern Russia’s Arkhangelsk Oblast, known for its remote Arctic location and traditional wooden architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mezen
Target entity description: Mezen is a small town in northern Russia’s Arkhangelsk Oblast, known for its remote Arctic location and traditional wooden architecture.
  • A. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • B. Mozhaisk
    Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
  • C. Zvenigorod
    Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
  • D. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • E. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ce0230819089a20114a755a75a completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5bbc07c819098fd768e2e6b5b3e completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb706eb348190baba254656fc0e71 completed May 9, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7812bf08190918c1410565633e2 completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:53 a.m.