Triple

T14579720
Position Surface form Disambiguated ID Type / Status
Subject Sebezhsky District E342154 entity
Predicate administrativeCenter P1474 FINISHED
Object Sebezh
Sebezh is a small historic town in Pskov Oblast, Russia, known for its lakeside setting near the borders with Latvia and Belarus.
E1107765 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: Sebezh | Statement: [Sebezhsky District, administrativeCenter, Sebezh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebezh
Context triple: [Sebezhsky District, administrativeCenter, Sebezh]
  • A. Pleskov
    Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
  • B. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • C. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • D. Zayukovo
    Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
  • E. Kirzhach
    Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
  • 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: Sebezh
Triple: [Sebezhsky District, administrativeCenter, Sebezh]
Generated description
Sebezh is a small historic town in Pskov Oblast, Russia, known for its lakeside setting near the borders with Latvia and Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sebezh
Target entity description: Sebezh is a small historic town in Pskov Oblast, Russia, known for its lakeside setting near the borders with Latvia and Belarus.
  • A. Pleskov
    Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
  • B. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • C. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • D. Zayukovo
    Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
  • E. Kirzhach
    Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b832b08190965b727baa700403 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd959751d48190890dcce97f50ff07 completed May 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd966727088190a151f4790b434354 completed May 8, 2026, 7:53 a.m.
Created at: April 10, 2026, 1:24 a.m.