Triple

T8729962
Position Surface form Disambiguated ID Type / Status
Subject Kvirila E207227 entity
Predicate flowsThrough P225 FINISHED
Object city of Chiatura
The city of Chiatura is a historic manganese mining town in western Georgia, known for its dramatic river gorge setting and Soviet-era cable car system.
 E753479 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: city of Chiatura | Statement: [Kvirila, flowsThrough, city of Chiatura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: city of Chiatura
Context triple: [Kvirila, flowsThrough, city of Chiatura]
  • A. Petrovgrad
    Petrovgrad was the former name of the Serbian city now known as Zrenjanin, located in the Vojvodina region.
  • B. Zaqatala city
    Zaqatala city is an administrative and economic center in northwestern Azerbaijan, known for its multicultural population and proximity to the Caucasus Mountains.
  • C. Çärjew
    Çärjew is the former name of the city now known as Türkmenabat, a major urban and economic center in eastern Turkmenistan.
  • D. city of Poshekhonye
    The city of Poshekhonye is a small historic town in central Russia known for its traditional cheese production and location along the Sogozha River.
  • E. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • 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: city of Chiatura
Triple: [Kvirila, flowsThrough, city of Chiatura]
Generated description
The city of Chiatura is a historic manganese mining town in western Georgia, known for its dramatic river gorge setting and Soviet-era cable car system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: city of Chiatura
Target entity description: The city of Chiatura is a historic manganese mining town in western Georgia, known for its dramatic river gorge setting and Soviet-era cable car system.
  • A. Petrovgrad
    Petrovgrad was the former name of the Serbian city now known as Zrenjanin, located in the Vojvodina region.
  • B. Zaqatala city
    Zaqatala city is an administrative and economic center in northwestern Azerbaijan, known for its multicultural population and proximity to the Caucasus Mountains.
  • C. Çärjew
    Çärjew is the former name of the city now known as Türkmenabat, a major urban and economic center in eastern Turkmenistan.
  • D. city of Poshekhonye
    The city of Poshekhonye is a small historic town in central Russia known for its traditional cheese production and location along the Sogozha River.
  • E. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d26d280819085e15d4917c2b9a5 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2923abc48190a5b6027c2e4f1db7 completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd42e6081908e016303eeb2241f completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ce47b748190b883063dc3e5d16b completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.