Triple

T8336655
Position Surface form Disambiguated ID Type / Status
Subject Anadyr River E195803 entity
Predicate nearbySettlement P350 FINISHED
Object Markovo
Markovo is a remote rural settlement in Russia’s Chukotka Autonomous Okrug, historically known as one of the oldest villages in the Anadyr River basin and a former regional trading and administrative center.
 E730291 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: Markovo | Statement: [Anadyr River, nearbySettlement, Markovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Markovo
Context triple: [Anadyr River, nearbySettlement, Markovo]
  • A. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • B. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • C. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • D. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • E. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • 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: Markovo
Triple: [Anadyr River, nearbySettlement, Markovo]
Generated description
Markovo is a remote rural settlement in Russia’s Chukotka Autonomous Okrug, historically known as one of the oldest villages in the Anadyr River basin and a former regional trading and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Markovo
Target entity description: Markovo is a remote rural settlement in Russia’s Chukotka Autonomous Okrug, historically known as one of the oldest villages in the Anadyr River basin and a former regional trading and administrative center.
  • A. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • B. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • C. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • D. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • E. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde794a4008190bbcb2f114c503458 completed April 2, 2026, 3:50 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 5:57 p.m.