Triple

T22319579
Position Surface form Disambiguated ID Type / Status
Subject Thierstein district E551745 entity
Predicate containsMunicipality P852 FINISHED
Object Meltingen NE NERFINISHED

How this triple was built (3 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: Meltingen | Statement: [Thierstein district, containsMunicipality, Meltingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meltingen
Context triple: [Thierstein district, containsMunicipality, Meltingen]
  • A. Molndal
    Mölndal is a Swedish city in Västra Götaland County, just south of Gothenburg, known for its industrial heritage and proximity to major research and technology hubs.
  • B. Mellingen
    Mellingen is a small Swiss town in the canton of Aargau known for its historic old town and riverside setting along the Reuss.
  • C. Mellingen
    Mellingen is a small municipality in the German state of Thuringia, known for its location near the historic city of Weimar.
  • D. Rudersberg
    Rudersberg is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
  • E. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meltingen
Target entity description: Meltingen is a small Swiss municipality located in the canton of Solothurn.
  • A. Molndal
    Mölndal is a Swedish city in Västra Götaland County, just south of Gothenburg, known for its industrial heritage and proximity to major research and technology hubs.
  • B. Mellingen
    Mellingen is a small Swiss town in the canton of Aargau known for its historic old town and riverside setting along the Reuss.
  • C. Mellingen
    Mellingen is a small municipality in the German state of Thuringia, known for its location near the historic city of Weimar.
  • D. Rudersberg
    Rudersberg is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
  • E. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • F. None of above. chosen

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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15762fac08190a6a514baffbbbca1 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.