Triple

T3109640
Position Surface form Disambiguated ID Type / Status
Subject Maritsa E64918 entity
Predicate flowsThroughCity P10456 FINISHED
Object 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.
 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: [Maritsa, flowsThroughCity, Dimitrovgrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dimitrovgrad
Context triple: [Maritsa, flowsThroughCity, 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. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • C. Chistopol
    Chistopol is a historic industrial town in Russia’s Tatarstan region, known for its watchmaking industry and location along the Kama River.
  • D. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • E. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • 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: [Maritsa, flowsThroughCity, Dimitrovgrad]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dimitrovgrad
Target entity description: 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.
  • A. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • B. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • C. Chistopol
    Chistopol is a historic industrial town in Russia’s Tatarstan region, known for its watchmaking industry and location along the Kama River.
  • D. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • E. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6da6620819099f537bd8aded2bf completed March 14, 2026, 8:36 p.m.
NEDg Description generation batch_69b5caa796648190972a1d652e30c9a0 completed March 14, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69b5cb11ef74819095421a79a5ac929e completed March 14, 2026, 8:54 p.m.
Created at: March 8, 2026, 3:04 p.m.