Triple

T11130784
Position Surface form Disambiguated ID Type / Status
Subject Troisvierges E263272 entity
Predicate hasLocality P7943 FINISHED
Object Wilwerdange
Wilwerdange is a small village in northern Luxembourg that forms part of the commune of Troisvierges in the canton of Clervaux.
 E907722 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: Wilwerdange | Statement: [Troisvierges, hasLocality, Wilwerdange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilwerdange
Context triple: [Troisvierges, hasLocality, Wilwerdange]
  • A. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • B. Buizingen
    Buizingen is a village and suburb of Halle in Flemish Brabant, Belgium, known in part for the 2010 train collision that occurred near its railway station.
  • C. Vussem
    Vussem is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • D. Devillars
    Devillars is a French surname, a variant spelling of “de Villars,” historically associated with families and places bearing the Villars name in France.
  • E. 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.
  • 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: Wilwerdange
Triple: [Troisvierges, hasLocality, Wilwerdange]
Generated description
Wilwerdange is a small village in northern Luxembourg that forms part of the commune of Troisvierges in the canton of Clervaux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilwerdange
Target entity description: Wilwerdange is a small village in northern Luxembourg that forms part of the commune of Troisvierges in the canton of Clervaux.
  • A. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • B. Buizingen
    Buizingen is a village and suburb of Halle in Flemish Brabant, Belgium, known in part for the 2010 train collision that occurred near its railway station.
  • C. Vussem
    Vussem is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • D. Devillars
    Devillars is a French surname, a variant spelling of “de Villars,” historically associated with families and places bearing the Villars name in France.
  • E. 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.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e831f4808190afabdaa0e97bbe32 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441e6b72881908f8288e99df0cb7c completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.