Triple

T4201247
Position Surface form Disambiguated ID Type / Status
Subject Dender E86069 entity
Predicate hasRightTributary P415 FINISHED
Object Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
 E423461 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: Zuunbeek | Statement: [Dender, hasRightTributary, Zuunbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zuunbeek
Context triple: [Dender, hasRightTributary, Zuunbeek]
  • A. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • D. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • E. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • 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: Zuunbeek
Triple: [Dender, hasRightTributary, Zuunbeek]
Generated description
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zuunbeek
Target entity description: Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • A. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • D. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • E. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af037da30481908106b27a88d59140 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a84d00b8819082982c4d229c450e completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a983cfd88190b702c420d6dbc201 completed March 14, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b5aa00bcd88190ad2fba212861c712 completed March 14, 2026, 6:33 p.m.
Created at: March 9, 2026, 3:49 p.m.