Triple

T16460090
Position Surface form Disambiguated ID Type / Status
Subject Ittigen E399783 entity
Predicate hasSettlementPart P8239 FINISHED
Object Papiermühle
Papiermühle is a locality within the municipality of Ittigen in the canton of Bern, Switzerland, known primarily as a residential and commercial area near the city of Bern.
 E1214828 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: Papiermühle | Statement: [Ittigen, hasSettlementPart, Papiermühle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Papiermühle
Context triple: [Ittigen, hasSettlementPart, Papiermühle]
  • A. Maulusmühle
    Maulusmühle is a small locality in northern Luxembourg, situated within the commune of Troisvierges near the Belgian border.
  • B. Eggermühlen
    Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • C. Svetogorsk paper mill
    Svetogorsk paper mill is a major industrial pulp and paper manufacturing plant located in the town of Svetogorsk in Russia’s Leningrad Oblast.
  • D. Aumühle
    Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
  • E. Hüttermühle
    Hüttermühle is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
  • 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: Papiermühle
Triple: [Ittigen, hasSettlementPart, Papiermühle]
Generated description
Papiermühle is a locality within the municipality of Ittigen in the canton of Bern, Switzerland, known primarily as a residential and commercial area near the city of Bern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Papiermühle
Target entity description: Papiermühle is a locality within the municipality of Ittigen in the canton of Bern, Switzerland, known primarily as a residential and commercial area near the city of Bern.
  • A. Maulusmühle
    Maulusmühle is a small locality in northern Luxembourg, situated within the commune of Troisvierges near the Belgian border.
  • B. Eggermühlen
    Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • C. Svetogorsk paper mill
    Svetogorsk paper mill is a major industrial pulp and paper manufacturing plant located in the town of Svetogorsk in Russia’s Leningrad Oblast.
  • D. Aumühle
    Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
  • E. Hüttermühle
    Hüttermühle is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f53aff081909a75de6672f15f0e completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050a0f5b081908417c6062b1f50cc completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a00517b7b1c819098118fdbe03eb010 completed May 10, 2026, 9:35 a.m.
Created at: April 10, 2026, 5:10 a.m.