Triple

T12737266
Position Surface form Disambiguated ID Type / Status
Subject Izhevskoye, Ryazan Governorate, Russian Empire E304393 entity
Predicate hasNameInLanguage P15 FINISHED
Object Izhevskoye
Izhevskoye is a rural locality that was historically part of the Ryazan Governorate in the Russian Empire.
E1034777 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: Izhevskoye | Statement: [Izhevskoye, Ryazan Governorate, Russian Empire, hasNameInLanguage, Izhevskoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izhevskoye
Context triple: [Izhevskoye, Ryazan Governorate, Russian Empire, hasNameInLanguage, Izhevskoye]
  • A. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • B. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • C. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Yelizovo
    Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
  • 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: Izhevskoye
Triple: [Izhevskoye, Ryazan Governorate, Russian Empire, hasNameInLanguage, Izhevskoye]
Generated description
Izhevskoye is a rural locality that was historically part of the Ryazan Governorate in the Russian Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Izhevskoye
Target entity description: Izhevskoye is a rural locality that was historically part of the Ryazan Governorate in the Russian Empire.
  • A. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • B. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • C. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Yelizovo
    Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f0a5a58819082111550a65a04b9 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f720861728819088bc43753d19bef8 completed May 3, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69f7212ca3f48190915d73f987ec60d2 completed May 3, 2026, 10:19 a.m.
Created at: April 9, 2026, 5:26 p.m.