Triple

T21785044
Position Surface form Disambiguated ID Type / Status
Subject Gingelom E537813 entity
Predicate contains P35 FINISHED
Object Buvingen
Buvingen is a village in the municipality of Gingelom in the Belgian province of Limburg.
E1502619 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: Buvingen | Statement: [Gingelom, contains, Buvingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buvingen
Context triple: [Gingelom, contains, Buvingen]
  • A. Bottmingen
    Bottmingen is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known in part as the longtime home of tennis champion Roger Federer.
  • B. Bönigen
    Bönigen is a Swiss village in the canton of Bern, known for its scenic location on the shore of Lake Brienz near Interlaken.
  • C. Villigen
    Villigen is a municipality in the canton of Aargau, Switzerland, known for hosting major scientific research facilities.
  • D. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • E. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • 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: Buvingen
Triple: [Gingelom, contains, Buvingen]
Generated description
Buvingen is a village in the municipality of Gingelom in the Belgian province of Limburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buvingen
Target entity description: Buvingen is a village in the municipality of Gingelom in the Belgian province of Limburg.
  • A. Bottmingen
    Bottmingen is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known in part as the longtime home of tennis champion Roger Federer.
  • B. Bönigen
    Bönigen is a Swiss village in the canton of Bern, known for its scenic location on the shore of Lake Brienz near Interlaken.
  • C. Villigen
    Villigen is a municipality in the canton of Aargau, Switzerland, known for hosting major scientific research facilities.
  • D. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • E. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e71399c8190b80ebe0870bbcda9 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f80ad2c8190bc9b8de10b37c826 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.