Triple

T6338038
Position Surface form Disambiguated ID Type / Status
Subject Wda E142540 entity
Predicate flowsThrough P225 FINISHED
Object Czarna Woda
Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
 E586823 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: Czarna Woda | Statement: [Wda, flowsThrough, Czarna Woda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Czarna Woda
Context triple: [Wda, flowsThrough, Czarna Woda]
  • A. Czarny Dunajec
    Czarny Dunajec is a village and municipality in southern Poland’s Podhale region, known for its traditional highland culture and proximity to the Tatra Mountains.
  • B. Soła River
    The Soła River is a river in southern Poland that flows through the Lesser Poland and Silesian regions before joining the Vistula.
  • C. Martwa Wisła
    Martwa Wisła is a branch of the Vistula River in northern Poland, flowing through the Gdańsk area and historically serving as an important waterway for the city.
  • D. 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.
  • E. Paniowy
    Paniowy is a district of the town of Mikołów in southern Poland, located in the Silesian 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: Czarna Woda
Triple: [Wda, flowsThrough, Czarna Woda]
Generated description
Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Czarna Woda
Target entity description: Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
  • A. Czarny Dunajec
    Czarny Dunajec is a village and municipality in southern Poland’s Podhale region, known for its traditional highland culture and proximity to the Tatra Mountains.
  • B. Soła River
    The Soła River is a river in southern Poland that flows through the Lesser Poland and Silesian regions before joining the Vistula.
  • C. Martwa Wisła
    Martwa Wisła is a branch of the Vistula River in northern Poland, flowing through the Gdańsk area and historically serving as an important waterway for the city.
  • D. 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.
  • E. Paniowy
    Paniowy is a district of the town of Mikołów in southern Poland, located in the Silesian 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654e11988190b708426d3003716a completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604307b388190bbc59f5f57cb4bbe completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c606cb4d3c8190b8200ee8284cf1e7 completed March 27, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69c60741e7388190a8194d168a769cfd completed March 27, 2026, 4:27 a.m.
Created at: March 22, 2026, 4:30 p.m.