Triple

T10075887
Position Surface form Disambiguated ID Type / Status
Subject Schwäbisch Gmünd E213753 entity
Predicate twinTown P1072 FINISHED
Object Yelabuga
Yelabuga is a historic town in the Republic of Tatarstan, Russia, known for its preserved merchant architecture and cultural heritage.
 E863552 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: Yelabuga | Statement: [Schwäbisch Gmünd, twinTown, Yelabuga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yelabuga
Context triple: [Schwäbisch Gmünd, twinTown, Yelabuga]
  • A. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • B. Ostrogozhsk
    Ostrogozhsk is a historic town in Voronezh Oblast, Russia, known as a regional center with roots dating back to the 17th century.
  • C. 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.
  • D. Ulyanov
    Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
  • E. Alapayevsk
    Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
  • 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: Yelabuga
Triple: [Schwäbisch Gmünd, twinTown, Yelabuga]
Generated description
Yelabuga is a historic town in the Republic of Tatarstan, Russia, known for its preserved merchant architecture and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yelabuga
Target entity description: Yelabuga is a historic town in the Republic of Tatarstan, Russia, known for its preserved merchant architecture and cultural heritage.
  • A. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • B. Ostrogozhsk
    Ostrogozhsk is a historic town in Voronezh Oblast, Russia, known as a regional center with roots dating back to the 17th century.
  • C. 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.
  • D. Ulyanov
    Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
  • E. Alapayevsk
    Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e177fcc81908613409c03995ea8 completed April 10, 2026, 4:35 a.m.
NEDg Description generation batch_69d886c325c4819089dac35eb26e7961 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dbbe97c8190861e08f3ff39f91b completed April 10, 2026, 5:42 a.m.
Created at: March 30, 2026, 8:59 p.m.