Triple

T13775678
Position Surface form Disambiguated ID Type / Status
Subject Khanty-Mansiysk E330998 entity
Predicate formerName P65 FINISHED
Object Samarovo
Samarovo is the historical settlement that later became part of the modern Russian city of Khanty-Mansiysk in Western Siberia.
 E1074941 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: Samarovo | Statement: [Khanty-Mansiysk, formerName, Samarovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samarovo
Context triple: [Khanty-Mansiysk, formerName, Samarovo]
  • A. Makeyevka
    Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
  • B. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • C. Samokov
    Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
  • D. Konakovo
    Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
  • E. Dupnitsa
    Dupnitsa is a town in southwestern Bulgaria known as a regional center near the Osogovo Mountains, with historical roots and access to mountain tourism and outdoor activities.
  • 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: Samarovo
Triple: [Khanty-Mansiysk, formerName, Samarovo]
Generated description
Samarovo is the historical settlement that later became part of the modern Russian city of Khanty-Mansiysk in Western Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samarovo
Target entity description: Samarovo is the historical settlement that later became part of the modern Russian city of Khanty-Mansiysk in Western Siberia.
  • A. Makeyevka
    Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
  • B. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • C. Samokov
    Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
  • D. Konakovo
    Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
  • E. Dupnitsa
    Dupnitsa is a town in southwestern Bulgaria known as a regional center near the Osogovo Mountains, with historical roots and access to mountain tourism and outdoor activities.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31861b8819089d08c824512ab7f completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc53729d081908b74532d2ed54b7a completed May 6, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69fbc5d76cdc8190970778580437cf72 completed May 6, 2026, 10:51 p.m.
Created at: April 9, 2026, 10:10 p.m.