Triple

T10642797
Position Surface form Disambiguated ID Type / Status
Subject Oral E250763 entity
Predicate hasHistoricalName P2834 FINISHED
Object Yaitsk
Yaitsk is the former historical name of the city now known as Oral (Uralsk) in western Kazakhstan.
 E879453 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: Yaitsk | Statement: [Oral, hasHistoricalName, Yaitsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yaitsk
Context triple: [Oral, hasHistoricalName, Yaitsk]
  • A. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • B. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Kuibysheve
    Kuibysheve is a rural settlement located within Bakhchisarai Raion on the Crimean Peninsula.
  • D. Dzyatlava
    Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
  • E. Yartsevo
    Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
  • 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: Yaitsk
Triple: [Oral, hasHistoricalName, Yaitsk]
Generated description
Yaitsk is the former historical name of the city now known as Oral (Uralsk) in western Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yaitsk
Target entity description: Yaitsk is the former historical name of the city now known as Oral (Uralsk) in western Kazakhstan.
  • A. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • B. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Kuibysheve
    Kuibysheve is a rural settlement located within Bakhchisarai Raion on the Crimean Peninsula.
  • D. Dzyatlava
    Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
  • E. Yartsevo
    Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfcf65fc81909a0c86daefaab1ab completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9884dab1481909c868f7d54265a60 completed April 10, 2026, 11:31 p.m.
NEDg Description generation batch_69d98ae8403c81908a229aa06bd0388a completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98ce9ba0c8190a7c62fa670e23705 completed April 10, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:05 p.m.