Triple

T7319356
Position Surface form Disambiguated ID Type / Status
Subject Radom E168498 entity
Predicate locatedOn P40 FINISHED
Object Mleczna River
The Mleczna River is a small river in central Poland that flows through the city of Radom and forms part of its local water system.
 E674970 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: Mleczna River | Statement: [Radom, locatedOn, Mleczna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mleczna River
Context triple: [Radom, locatedOn, Mleczna River]
  • A. 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.
  • B. Wieprz River
    The Wieprz River is a major river in eastern Poland that flows through the Lublin region before joining the Vistula River.
  • C. 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.
  • D. Kamienna River
    The Kamienna River is a river in south-central Poland that flows through the Świętokrzyskie region, including the town of Skarżysko-Kamienna.
  • E. 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.
  • 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: Mleczna River
Triple: [Radom, locatedOn, Mleczna River]
Generated description
The Mleczna River is a small river in central Poland that flows through the city of Radom and forms part of its local water system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mleczna River
Target entity description: The Mleczna River is a small river in central Poland that flows through the city of Radom and forms part of its local water system.
  • A. 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.
  • B. Wieprz River
    The Wieprz River is a major river in eastern Poland that flows through the Lublin region before joining the Vistula River.
  • C. 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.
  • D. Kamienna River
    The Kamienna River is a river in south-central Poland that flows through the Świętokrzyskie region, including the town of Skarżysko-Kamienna.
  • E. 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.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef18b7bc81908a9ee405d684f304 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86130228c819098544e5354c31b44 completed March 28, 2026, 11:16 p.m.
NEDg Description generation batch_69c862677e008190928ac5b4a47906fc completed March 28, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69c8630fe8608190afc7b67d9a80240b completed March 28, 2026, 11:24 p.m.
Created at: March 27, 2026, 3:02 p.m.