Triple

T9525622
Position Surface form Disambiguated ID Type / Status
Subject Ruhrverband E229752 entity
Predicate manages P86 FINISHED
Object Versetalsperre
Versetalsperre is a reservoir in North Rhine-Westphalia, Germany, primarily used for drinking water supply, flood control, and recreation.
 E806153 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: Versetalsperre | Statement: [Ruhrverband, manages, Versetalsperre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Versetalsperre
Context triple: [Ruhrverband, manages, Versetalsperre]
  • A. Rentenmark
    The Rentenmark was a temporary German currency introduced in 1923 to halt hyperinflation and stabilize the economy during the Weimar Republic.
  • B. Rahanweyn
    Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
  • C. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • D. Raha
    Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
  • E. Raha
    Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
  • 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: Versetalsperre
Triple: [Ruhrverband, manages, Versetalsperre]
Generated description
Versetalsperre is a reservoir in North Rhine-Westphalia, Germany, primarily used for drinking water supply, flood control, and recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Versetalsperre
Target entity description: Versetalsperre is a reservoir in North Rhine-Westphalia, Germany, primarily used for drinking water supply, flood control, and recreation.
  • A. Rentenmark
    The Rentenmark was a temporary German currency introduced in 1923 to halt hyperinflation and stabilize the economy during the Weimar Republic.
  • B. Rahanweyn
    Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
  • C. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • D. Raha
    Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
  • E. Raha
    Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989b529c81909ee18dd3d468c816 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c2710b481909a13d946f6dd5b2d completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14e49c97481909a1bab1b4d482194 completed April 4, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_69d14ee1fcdc8190bf23a3af97f0ba39 completed April 4, 2026, 5:48 p.m.
Created at: March 30, 2026, 7:59 p.m.