Triple

T22243099
Position Surface form Disambiguated ID Type / Status
Subject Safenwil E549770 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Wiliberg
Wiliberg is a small rural municipality in the canton of Aargau in northern Switzerland.
 E1527423 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: Wiliberg | Statement: [Safenwil, hasNeighboringMunicipality, Wiliberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiliberg
Context triple: [Safenwil, hasNeighboringMunicipality, Wiliberg]
  • A. Waldulm
    Waldulm is a wine-growing village in southwestern Germany, known for its picturesque vineyards and location in the Black Forest region.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Reginburt
    Reginburt was a noblewoman of the early medieval Frankish realm, chiefly known as the mother of Drogo of Metz.
  • D. Hilberath
    Hilberath is a small village that forms one of the districts of the town of Rheinbach in North Rhine-Westphalia, Germany.
  • E. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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: Wiliberg
Triple: [Safenwil, hasNeighboringMunicipality, Wiliberg]
Generated description
Wiliberg is a small rural municipality in the canton of Aargau in northern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiliberg
Target entity description: Wiliberg is a small rural municipality in the canton of Aargau in northern Switzerland.
  • A. Waldulm
    Waldulm is a wine-growing village in southwestern Germany, known for its picturesque vineyards and location in the Black Forest region.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Reginburt
    Reginburt was a noblewoman of the early medieval Frankish realm, chiefly known as the mother of Drogo of Metz.
  • D. Hilberath
    Hilberath is a small village that forms one of the districts of the town of Rheinbach in North Rhine-Westphalia, Germany.
  • E. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1321655b0819091f1ddf06c67f3c2 completed April 28, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab65a809c8190be94c20c994dcdbb completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab7f904bc81909addafee8773eae0 completed May 18, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab891ba1c81909c9e9a5f29d4eb54 completed May 18, 2026, 6:58 a.m.
Created at: April 16, 2026, 8:38 p.m.