Triple

T19009450
Position Surface form Disambiguated ID Type / Status
Subject Oberaargau administrative district E465180 entity
Predicate containsSettlement P847 FINISHED
Object Herzogenbuchsee NE NERFINISHED

How this triple was built (2 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: Herzogenbuchsee | Statement: [Oberaargau administrative district, containsSettlement, Herzogenbuchsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herzogenbuchsee
Context triple: [Oberaargau administrative district, containsSettlement, Herzogenbuchsee]
  • A. Herzogenbuchsee chosen
    Herzogenbuchsee is a municipality in the canton of Bern in Switzerland, known as a regional center in the Oberaargau area.
  • B. Münchenbuchsee
    Münchenbuchsee is a municipality in the canton of Bern, Switzerland, known as the birthplace of the influential modernist painter Paul Klee.
  • C. Fennsee
    Fennsee is a small urban lake and surrounding green area in Berlin’s Wilmersdorf district, popular for local recreation and walking.
  • D. Gerzensee
    Gerzensee is a small municipality in the canton of Bern, Switzerland, known for its scenic lake and rural alpine surroundings.
  • E. Schlosssee
    Schlosssee is a scenic lake in the spa town of Bad Waldsee in southern Germany, known for recreation and its picturesque natural setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a72aa88190a04f13cd14ee77d4 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.