Triple

T15460703
Position Surface form Disambiguated ID Type / Status
Subject Monchegorsk E371889 entity
Predicate near P350 FINISHED
Object Olenegorsk
Olenegorsk is a mining town in Russia’s Murmansk Oblast on the Kola Peninsula, known primarily for its iron ore industry and Arctic location.
E1158784 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: Olenegorsk | Statement: [Monchegorsk, near, Olenegorsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olenegorsk
Context triple: [Monchegorsk, near, Olenegorsk]
  • A. Vesyegonsk
    Vesyegonsk is a small town in Tver Oblast, Russia, situated on the shores of the Rybinsk Reservoir and known historically as a local administrative and trading center.
  • B. Zhigulevsk
    Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
  • C. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • D. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • E. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, 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: Olenegorsk
Triple: [Monchegorsk, near, Olenegorsk]
Generated description
Olenegorsk is a mining town in Russia’s Murmansk Oblast on the Kola Peninsula, known primarily for its iron ore industry and Arctic location.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olenegorsk
Target entity description: Olenegorsk is a mining town in Russia’s Murmansk Oblast on the Kola Peninsula, known primarily for its iron ore industry and Arctic location.
  • A. Vesyegonsk
    Vesyegonsk is a small town in Tver Oblast, Russia, situated on the shores of the Rybinsk Reservoir and known historically as a local administrative and trading center.
  • B. Zhigulevsk
    Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
  • C. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • D. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • E. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cfd76cc8190b3d8148ffe872887 completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2ead88b0819093046c5f0dae8674 completed May 9, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f4a404c81909a391d3d2cba1ee8 completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:32 a.m.