Triple

T5216850
Position Surface form Disambiguated ID Type / Status
Subject Pskov E117772 entity
Predicate alternativeName P39 FINISHED
Object Pleskov
Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
 E523635 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: Pleskov | Statement: [Pskov, alternativeName, Pleskov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pleskov
Context triple: [Pskov, alternativeName, Pleskov]
  • A. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • B. Pokrovskoye
    Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
  • C. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • D. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • E. Dubrovitsy
    Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
  • 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: Pleskov
Triple: [Pskov, alternativeName, Pleskov]
Generated description
Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pleskov
Target entity description: Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
  • A. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • B. Pokrovskoye
    Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
  • C. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • D. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • E. Dubrovitsy
    Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a95abdc8190b0babd79cea1360e completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf486fb3f48190a07829bcb9d0f521 completed March 22, 2026, 1:39 a.m.
NEDg Description generation batch_69bf64fb8df481908efa5b04064ccefa completed March 22, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_69bf658bcdf48190b6ce8516ede54816 completed March 22, 2026, 3:44 a.m.
Created at: March 20, 2026, 1:48 p.m.