Triple

T7141516
Position Surface form Disambiguated ID Type / Status
Subject Langendorf E166452 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Rüttenen
Rüttenen is a municipality in the canton of Solothurn in northwestern Switzerland.
 E643143 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: Rüttenen | Statement: [Langendorf, neighboringMunicipality, Rüttenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rüttenen
Context triple: [Langendorf, neighboringMunicipality, Rüttenen]
  • A. 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.
  • B. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • C. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • D. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • E. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • 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: Rüttenen
Triple: [Langendorf, neighboringMunicipality, Rüttenen]
Generated description
Rüttenen is a municipality in the canton of Solothurn in northwestern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rüttenen
Target entity description: Rüttenen is a municipality in the canton of Solothurn in northwestern Switzerland.
  • A. 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.
  • B. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • C. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • D. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • E. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e778875c8190a5202d3efe5a842d completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34e55f481909b1aee270363fd61 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a40a3f2481908ed97d8413c0f1d4 completed March 28, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7a46efe3881909d1bdb13f9f2a7da completed March 28, 2026, 9:50 a.m.
Created at: March 27, 2026, 2:45 p.m.