Triple

T3877735
Position Surface form Disambiguated ID Type / Status
Subject Nederrijn E92543 entity
Predicate flowsThrough P225 FINISHED
Object Renkum
Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
 E395212 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: Renkum | Statement: [Nederrijn, flowsThrough, Renkum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Renkum
Context triple: [Nederrijn, flowsThrough, Renkum]
  • A. Kromï
    Kromï is a Russian locality historically notable as a key center of the Bolotnikov Rebellion in the early 17th century.
  • B. Kioni
    Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
  • C. Runkel
    Runkel is a small historic town in the German state of Hesse, known for its medieval hilltop castle overlooking the Lahn River.
  • D. Kortgene
    Kortgene is a small town in the Dutch province of Zeeland, known as an administrative and recreational center on the island of Noord-Beveland.
  • E. Karup
    Karup is a town in central Jutland, Denmark, notable for its major military air base and role as a key Danish defense hub.
  • 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: Renkum
Triple: [Nederrijn, flowsThrough, Renkum]
Generated description
Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Renkum
Target entity description: Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
  • A. Kromï
    Kromï is a Russian locality historically notable as a key center of the Bolotnikov Rebellion in the early 17th century.
  • B. Kioni
    Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
  • C. Runkel
    Runkel is a small historic town in the German state of Hesse, known for its medieval hilltop castle overlooking the Lahn River.
  • D. Kortgene
    Kortgene is a small town in the Dutch province of Zeeland, known as an administrative and recreational center on the island of Noord-Beveland.
  • E. Karup
    Karup is a town in central Jutland, Denmark, notable for its major military air base and role as a key Danish defense hub.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51251609c81909e19132475eb612d completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b512d3e4ac8190834746b5b1a15fc4 completed March 14, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69b51339ee948190a7c9ab3c5eb106da completed March 14, 2026, 7:50 a.m.
Created at: March 9, 2026, 3:20 p.m.