Triple

T746437
Position Surface form Disambiguated ID Type / Status
Subject Black Forest E15351 entity
Predicate hasRiverSource P947 FINISHED
Object Kinzig
The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
 E112852 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: Kinzig | Statement: [Black Forest, hasRiverSource, Kinzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinzig
Context triple: [Black Forest, hasRiverSource, Kinzig]
  • A. Neckar
    The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
  • B. Lahn
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • C. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • D. Werra
    The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
  • E. Old Rhine
    The Old Rhine is a historic branch of the Rhine River in the western Netherlands that flows through cities such as Leiden before reaching the North Sea.
  • 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: Kinzig
Triple: [Black Forest, hasRiverSource, Kinzig]
Generated description
The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinzig
Target entity description: The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • A. Neckar
    The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
  • B. Lahn
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • C. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • D. Werra
    The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
  • E. Old Rhine
    The Old Rhine is a historic branch of the Rhine River in the western Netherlands that flows through cities such as Leiden before reaching the North Sea.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62ca1d081908e3191411f86498d completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac118aa3c48190be7ca68d17457ea8 completed March 7, 2026, 11:52 a.m.
NEDg Description generation batch_69ac11e8f598819083bd002de35fa856 completed March 7, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_69ac124d385c8190b75ad3a7213a796f completed March 7, 2026, 11:55 a.m.
Created at: March 1, 2026, 7:37 p.m.