Triple

T17841189
Position Surface form Disambiguated ID Type / Status
Subject Bulunsky District E445530 entity
Predicate hasSettlement P1068 FINISHED
Object Bykovsky
Bykovsky is a rural locality (selo) in the Bulunsky District of the Sakha Republic, Russia, situated in the Arctic region along the Lena River.
E1290908 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: Bykovsky | Statement: [Bulunsky District, hasSettlement, Bykovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bykovsky
Context triple: [Bulunsky District, hasSettlement, Bykovsky]
  • A. Bykov
    Bykov is a character in Fyodor Dostoevsky’s epistolary novel "Poor Folk," representing part of the social milieu surrounding the impoverished protagonists.
  • B. Baraniev
    Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
  • C. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • D. Kozhedub
    Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
  • E. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • 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: Bykovsky
Triple: [Bulunsky District, hasSettlement, Bykovsky]
Generated description
Bykovsky is a rural locality (selo) in the Bulunsky District of the Sakha Republic, Russia, situated in the Arctic region along the Lena River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bykovsky
Target entity description: Bykovsky is a rural locality (selo) in the Bulunsky District of the Sakha Republic, Russia, situated in the Arctic region along the Lena River.
  • A. Bykov
    Bykov is a character in Fyodor Dostoevsky’s epistolary novel "Poor Folk," representing part of the social milieu surrounding the impoverished protagonists.
  • B. Baraniev
    Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
  • C. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • D. Kozhedub
    Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
  • E. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2b2ea08190926ec0cf01285833 completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306feb6608190b90c2a3aaa6c0467 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307a17a4c81909a0b19b85a2d0adb completed May 12, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a03080d46fc8190890000cfd0ede60e completed May 12, 2026, 10:59 a.m.
Created at: April 10, 2026, 10:16 a.m.