Triple

T8619557
Position Surface form Disambiguated ID Type / Status
Subject Nišava River E204128 entity
Predicate flowsThrough P225 FINISHED
Object Dimitrovgrad
Dimitrovgrad is a small town in southeastern Serbia near the Bulgarian border, known as a local transport and trade hub in the Pirot District.
 E429833 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: Dimitrovgrad | Statement: [Nišava River, flowsThrough, Dimitrovgrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dimitrovgrad
Context triple: [Nišava River, flowsThrough, Dimitrovgrad]
  • A. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • B. Dimitrovgrad
    Dimitrovgrad is a Bulgarian industrial city in the south-central part of the country, known for its post-World War II planned urban layout and location in the Upper Thracian Plain.
  • C. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • D. Kirovgrad
    Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
  • E. Chistopol
    Chistopol is a historic industrial town in Russia’s Tatarstan region, known for its watchmaking industry and location along the Kama River.
  • 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: Dimitrovgrad
Triple: [Nišava River, flowsThrough, Dimitrovgrad]
Generated description
Dimitrovgrad is a small town in southeastern Serbia near the Bulgarian border, known as a local transport and trade hub in the Pirot District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dimitrovgrad
Target entity description: Dimitrovgrad is a small town in southeastern Serbia near the Bulgarian border, known as a local transport and trade hub in the Pirot District.
  • A. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • B. Dimitrovgrad chosen
    Dimitrovgrad is a Bulgarian industrial city in the south-central part of the country, known for its post-World War II planned urban layout and location in the Upper Thracian Plain.
  • C. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • D. Kirovgrad
    Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
  • E. Chistopol
    Chistopol is a historic industrial town in Russia’s Tatarstan region, known for its watchmaking industry and location along the Kama River.
  • F. None of above.

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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc471458f48190a6d8858f8074727d completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbd49cc8819093555edf5ff0acaa completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:26 p.m.