Triple

T1766859
Position Surface form Disambiguated ID Type / Status
Subject Leningrad Oblast E38781 entity
Predicate containsCity P294 FINISHED
Object Tikhvin
Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
 E244096 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: Tikhvin | Statement: [Leningrad Oblast, containsCity, Tikhvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tikhvin
Context triple: [Leningrad Oblast, containsCity, Tikhvin]
  • A. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • B. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • C. Volkhov
    Volkhov is a town in Leningrad Oblast, Russia, situated along the Volkhov River and known for its hydroelectric power station and industrial significance.
  • D. 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.
  • E. Kirovsk
    Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
  • 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: Tikhvin
Triple: [Leningrad Oblast, containsCity, Tikhvin]
Generated description
Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tikhvin
Target entity description: Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
  • A. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • B. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • C. Volkhov
    Volkhov is a town in Leningrad Oblast, Russia, situated along the Volkhov River and known for its hydroelectric power station and industrial significance.
  • D. 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.
  • E. Kirovsk
    Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646914048190bbe282a3d4768835 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae651c82588190b9f1461a7e135670 completed March 9, 2026, 6:13 a.m.
NEDg Description generation batch_69ae65ac14a8819091fa0795c7f99917 completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae66429c208190ae011d7ee001c9ea completed March 9, 2026, 6:18 a.m.
Created at: March 4, 2026, 7:31 p.m.