Triple

T4835949
Position Surface form Disambiguated ID Type / Status
Subject Northern Fleet E108059 entity
Predicate base P2909 FINISHED
Object Vidyaevo
Vidyaevo is a closed naval settlement in Murmansk Oblast, Russia, known primarily as a major submarine base of the Russian Northern Fleet.
E473836 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: Vidyaevo | Statement: [Northern Fleet, base, Vidyaevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vidyaevo
Context triple: [Northern Fleet, base, Vidyaevo]
  • A. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • B. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • C. Vorokhta
    Vorokhta is a Ukrainian mountain resort village in the Carpathians, known as a gateway for hiking and skiing in the Hoverla and Chornohora ranges.
  • D. Ovruch
    Ovruch is a historic town in northern Ukraine, known for its medieval origins and cultural significance in the Polesia region.
  • E. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • 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: Vidyaevo
Triple: [Northern Fleet, base, Vidyaevo]
Generated description
Vidyaevo is a closed naval settlement in Murmansk Oblast, Russia, known primarily as a major submarine base of the Russian Northern Fleet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vidyaevo
Target entity description: Vidyaevo is a closed naval settlement in Murmansk Oblast, Russia, known primarily as a major submarine base of the Russian Northern Fleet.
  • A. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • B. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • C. Vorokhta
    Vorokhta is a Ukrainian mountain resort village in the Carpathians, known as a gateway for hiking and skiing in the Hoverla and Chornohora ranges.
  • D. Ovruch
    Ovruch is a historic town in northern Ukraine, known for its medieval origins and cultural significance in the Polesia region.
  • E. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce00cd48190a675fb75eae152c2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cbbc8a08190b01e4ca717260a20 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5d40dd8081908a911ce03b3dc0da completed March 21, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_69be5d9e2f1481909284d5e5115e82bc completed March 21, 2026, 8:58 a.m.
Created at: March 20, 2026, 1:25 p.m.