Triple

T5993836
Position Surface form Disambiguated ID Type / Status
Subject Halderberge E133417 entity
Predicate borders P224 FINISHED
Object Rucphen
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
 E562076 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: Rucphen | Statement: [Halderberge, borders, Rucphen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rucphen
Context triple: [Halderberge, borders, Rucphen]
  • A. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • B. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • C. Wilderswil
    Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
  • D. Werneuchen
    Werneuchen is a small town in the German state of Brandenburg, located northeast of Berlin and characterized by its rural surroundings and commuter links to the capital.
  • E. Neuselhalden
    Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
  • 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: Rucphen
Triple: [Halderberge, borders, Rucphen]
Generated description
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rucphen
Target entity description: Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
  • A. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • B. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • C. Wilderswil
    Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
  • D. Werneuchen
    Werneuchen is a small town in the German state of Brandenburg, located northeast of Berlin and characterized by its rural surroundings and commuter links to the capital.
  • E. Neuselhalden
    Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e92e1448190bbf961a8243082ee completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108685f788190aa3f84e56837b195 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10a15b9e08190be8b559e467d1d8c completed March 23, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69c10aaf299481909d0e824a126381e3 completed March 23, 2026, 9:41 a.m.
Created at: March 22, 2026, 4:05 p.m.