Triple

T4638555
Position Surface form Disambiguated ID Type / Status
Subject Unna E101592 entity
Predicate hasRiver P165 FINISHED
Object River Seseke
River Seseke is a small river in North Rhine-Westphalia, Germany, that flows through the Ruhr region and has historically been associated with local industrial and urban development.
 E485888 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: River Seseke | Statement: [Unna, hasRiver, River Seseke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Seseke
Context triple: [Unna, hasRiver, River Seseke]
  • A. Palu River
    The Palu River is a waterway in Central Sulawesi, Indonesia, that flows through the city of Palu before emptying into Palu Bay.
  • B. Landak River
    The Landak River is a significant waterway in West Kalimantan, Indonesia, that flows through and helps shape the city of Pontianak.
  • C. Binwa River
    Binwa River is a Himalayan river in northern India that flows through Himachal Pradesh as a significant tributary contributing to the Beas River system.
  • D. Sonai River
    The Sonai River is a tributary waterway in northeastern India that feeds into the larger Barak River system.
  • E. Clarillo River
    The Clarillo River is a significant watercourse in central Chile that feeds into the Maipo River and supports surrounding ecosystems and agriculture.
  • 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: River Seseke
Triple: [Unna, hasRiver, River Seseke]
Generated description
River Seseke is a small river in North Rhine-Westphalia, Germany, that flows through the Ruhr region and has historically been associated with local industrial and urban development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: River Seseke
Target entity description: River Seseke is a small river in North Rhine-Westphalia, Germany, that flows through the Ruhr region and has historically been associated with local industrial and urban development.
  • A. Palu River
    The Palu River is a waterway in Central Sulawesi, Indonesia, that flows through the city of Palu before emptying into Palu Bay.
  • B. Landak River
    The Landak River is a significant waterway in West Kalimantan, Indonesia, that flows through and helps shape the city of Pontianak.
  • C. Binwa River
    Binwa River is a Himalayan river in northern India that flows through Himachal Pradesh as a significant tributary contributing to the Beas River system.
  • D. Sonai River
    The Sonai River is a tributary waterway in northeastern India that feeds into the larger Barak River system.
  • E. Clarillo River
    The Clarillo River is a significant watercourse in central Chile that feeds into the Maipo River and supports surrounding ecosystems and agriculture.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a64214481908a207e8070cc7a45 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be922a8fc08190ad2dd4ffc1697f08 completed March 21, 2026, 12:42 p.m.
NEDg Description generation batch_69be92da1bc08190a105ec9d3bcf6e9d completed March 21, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69be933087f481908d59086772040405 completed March 21, 2026, 12:46 p.m.
Created at: March 20, 2026, 1:13 p.m.