Triple

T4637121
Position Surface form Disambiguated ID Type / Status
Subject Irkutsk Oblast E101558 entity
Predicate hasCity P316 FINISHED
Object Usolye-Sibirskoye
Usolye-Sibirskoye is an industrial city in southeastern Siberia, Russia, situated on the Angara River within Irkutsk Oblast.
 E471088 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: Usolye-Sibirskoye | Statement: [Irkutsk Oblast, hasCity, Usolye-Sibirskoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Usolye-Sibirskoye
Context triple: [Irkutsk Oblast, hasCity, Usolye-Sibirskoye]
  • A. Ust-Ilimsk
    Ust-Ilimsk is a Siberian city in Russia known for its large hydroelectric power station on the Angara River and its role in the region’s timber and energy industries.
  • B. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • C. Ust-Izhora
    Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
  • D. Urzhum
    Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
  • E. Bratsk
    Bratsk is a major industrial city in Siberia, Russia, best known for its large hydroelectric power station and aluminum production facilities.
  • 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: Usolye-Sibirskoye
Triple: [Irkutsk Oblast, hasCity, Usolye-Sibirskoye]
Generated description
Usolye-Sibirskoye is an industrial city in southeastern Siberia, Russia, situated on the Angara River within Irkutsk Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Usolye-Sibirskoye
Target entity description: Usolye-Sibirskoye is an industrial city in southeastern Siberia, Russia, situated on the Angara River within Irkutsk Oblast.
  • A. Ust-Ilimsk
    Ust-Ilimsk is a Siberian city in Russia known for its large hydroelectric power station on the Angara River and its role in the region’s timber and energy industries.
  • B. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • C. Ust-Izhora
    Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
  • D. Urzhum
    Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
  • E. Bratsk
    Bratsk is a major industrial city in Siberia, Russia, best known for its large hydroelectric power station and aluminum production facilities.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d6d97fc819095d585ade9de201d completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e38bccc81909102f922fd395568 completed March 21, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69be4ea8fa708190909e26268b49b678 completed March 21, 2026, 7:54 a.m.
Created at: March 20, 2026, 1:13 p.m.