Triple

T13402899
Position Surface form Disambiguated ID Type / Status
Subject Brugg District E319876 entity
Predicate hasMunicipality P847 FINISHED
Object Mülligen
Mülligen is a small Swiss municipality located in the canton of Aargau.
E1039164 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: Mülligen | Statement: [Brugg District, hasMunicipality, Mülligen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mülligen
Context triple: [Brugg District, hasMunicipality, Mülligen]
  • A. Mühlingen
    Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
  • B. Münklingen
    Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
  • C. Merklingen
    Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
  • D. Merklingen
    Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
  • E. Vilich-Müldorf
    Vilich-Müldorf is a district within the Beuel borough of Bonn, Germany, characterized by its residential areas and local community amenities.
  • 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: Mülligen
Triple: [Brugg District, hasMunicipality, Mülligen]
Generated description
Mülligen is a small Swiss municipality located in the canton of Aargau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mülligen
Target entity description: Mülligen is a small Swiss municipality located in the canton of Aargau.
  • A. Mühlingen
    Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
  • B. Münklingen
    Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
  • C. Merklingen
    Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
  • D. Merklingen
    Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
  • E. Vilich-Müldorf
    Vilich-Müldorf is a district within the Beuel borough of Bonn, Germany, characterized by its residential areas and local community amenities.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4982e0819087a9fcb2fa88541f completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73076a7ac8190bd7898edff7d90e8 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f732351cf88190be85186d20b529b7 completed May 3, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69f732d82c308190907e11de42e2c8ea completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:34 p.m.