Triple

T7141515
Position Surface form Disambiguated ID Type / Status
Subject Langendorf E166452 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Oberdorf SO E530909 NE FINISHED

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: Oberdorf SO | Statement: [Langendorf, neighboringMunicipality, Oberdorf SO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberdorf SO
Context triple: [Langendorf, neighboringMunicipality, Oberdorf SO]
  • A. Oberdorf (SO) chosen
    Oberdorf (SO) is a municipality in the canton of Solothurn in northwestern Switzerland, situated in a hilly area near the Jura Mountains.
  • B. Oberaudorf
    Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
  • C. Oberndorf am Neckar
    Oberndorf am Neckar is a small town in the German state of Baden-Württemberg, historically known for its arms manufacturing industry.
  • D. Oberweier
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • E. Oberbipp
    Oberbipp is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region at the southern foot of the Jura Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e778875c8190a5202d3efe5a842d completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34e55f481909b1aee270363fd61 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.