Triple

T8372613
Position Surface form Disambiguated ID Type / Status
Subject Kingisepp E197494 entity
Predicate hasHistoricalName P2834 FINISHED
Object Yamburg
Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
 E730402 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: Yamburg | Statement: [Kingisepp, hasHistoricalName, Yamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yamburg
Context triple: [Kingisepp, hasHistoricalName, Yamburg]
  • A. Kasimov
    Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Syzran
    Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
  • D. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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: Yamburg
Triple: [Kingisepp, hasHistoricalName, Yamburg]
Generated description
Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yamburg
Target entity description: Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
  • A. Kasimov
    Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Syzran
    Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
  • D. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a6944081909c4547688c9e70ae completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7dc7c6081909183716901fd2543 completed April 2, 2026, 3:51 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 6:01 p.m.