Triple

T10473239
Position Surface form Disambiguated ID Type / Status
Subject Wieluń E246981 entity
Predicate river P165 FINISHED
Object Pyszna River
The Pyszna River is a small watercourse in central Poland that flows through the town of Wieluń and its surrounding region.
 E893044 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: Pyszna River | Statement: [Wieluń, river, Pyszna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pyszna River
Context triple: [Wieluń, river, Pyszna River]
  • A. Kryniczanka River
    Kryniczanka River is a small mountain river in southern Poland that flows through the spa town of Krynica-Zdrój in the Beskid Sądecki range.
  • B. Łomnica River
    The Łomnica River is a mountain river in the Krkonoše range of Central Europe, known for its fast-flowing course and role in draining the surrounding highland terrain.
  • C. Rospuda River
    The Rospuda River is a scenic waterway in northeastern Poland known for its unspoiled natural landscapes and ecologically valuable wetlands.
  • D. Płońka River
    Płońka River is a small river in north-central Poland that flows through the town of Płońsk and forms part of the region’s local water system.
  • E. Świna River
    The Świna River is a strait in northwestern Poland that connects the Szczecin Lagoon with the Baltic Sea and separates the islands of Wolin and Usedom.
  • 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: Pyszna River
Triple: [Wieluń, river, Pyszna River]
Generated description
The Pyszna River is a small watercourse in central Poland that flows through the town of Wieluń and its surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pyszna River
Target entity description: The Pyszna River is a small watercourse in central Poland that flows through the town of Wieluń and its surrounding region.
  • A. Kryniczanka River
    Kryniczanka River is a small mountain river in southern Poland that flows through the spa town of Krynica-Zdrój in the Beskid Sądecki range.
  • B. Łomnica River
    The Łomnica River is a mountain river in the Krkonoše range of Central Europe, known for its fast-flowing course and role in draining the surrounding highland terrain.
  • C. Rospuda River
    The Rospuda River is a scenic waterway in northeastern Poland known for its unspoiled natural landscapes and ecologically valuable wetlands.
  • D. Płońka River
    Płońka River is a small river in north-central Poland that flows through the town of Płońsk and forms part of the region’s local water system.
  • E. Świna River
    The Świna River is a strait in northwestern Poland that connects the Szczecin Lagoon with the Baltic Sea and separates the islands of Wolin and Usedom.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094daac081908e0ba5e10c1bbb67 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69e215e3c3c88190833c1f56288629a2 completed April 17, 2026, 11:13 a.m.
NEDg Description generation batch_69e21d860d288190855ffbe60df50df9 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21f09be508190a7c497a7680cb59e completed April 17, 2026, 11:52 a.m.
Created at: April 6, 2026, 12:20 p.m.