Triple

T21785248
Position Surface form Disambiguated ID Type / Status
Subject Voeren E537818 entity
Predicate contains P35 FINISHED
Object Moelingen
Moelingen is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium, near the Dutch border.
 E1502664 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: Moelingen | Statement: [Voeren, contains, Moelingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moelingen
Context triple: [Voeren, contains, Moelingen]
  • A. Möhlin
    Möhlin is a municipality in the canton of Aargau in northern Switzerland, situated in the Fricktal region near the Rhine River.
  • B. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • C. Mehlem
    Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
  • D. Oestereiden
    Oestereiden is a village and district (Stadtteil) of the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Müllen
    Müllen is a small locality or district that forms part of the municipality of Schutterwald 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: Moelingen
Triple: [Voeren, contains, Moelingen]
Generated description
Moelingen is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium, near the Dutch border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moelingen
Target entity description: Moelingen is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium, near the Dutch border.
  • A. Möhlin
    Möhlin is a municipality in the canton of Aargau in northern Switzerland, situated in the Fricktal region near the Rhine River.
  • B. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • C. Mehlem
    Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
  • D. Oestereiden
    Oestereiden is a village and district (Stadtteil) of the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Müllen
    Müllen is a small locality or district that forms part of the municipality of Schutterwald 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_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.