Triple

T4702444
Position Surface form Disambiguated ID Type / Status
Subject Bytom E104306 entity
Predicate river P165 FINISHED
Object Bytomka
Bytomka is a small river in southern Poland that flows through the city of Bytom and its surrounding industrial region.
 E462826 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: Bytomka | Statement: [Bytom, river, Bytomka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bytomka
Context triple: [Bytom, river, Bytomka]
  • A. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • B. Bílina
    Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
  • C. Savaria
    Savaria was a prominent Roman city in the province of Pannonia, known today as Szombathely in western Hungary.
  • D. Bzura River
    The Bzura River is a waterway in central Poland that gained historical significance as the site of a major World War II battle between Polish and German forces in 1939.
  • E. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don 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: Bytomka
Triple: [Bytom, river, Bytomka]
Generated description
Bytomka is a small river in southern Poland that flows through the city of Bytom and its surrounding industrial region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bytomka
Target entity description: Bytomka is a small river in southern Poland that flows through the city of Bytom and its surrounding industrial region.
  • A. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • B. Bílina
    Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
  • C. Savaria
    Savaria was a prominent Roman city in the province of Pannonia, known today as Szombathely in western Hungary.
  • D. Bzura River
    The Bzura River is a waterway in central Poland that gained historical significance as the site of a major World War II battle between Polish and German forces in 1939.
  • E. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.