Triple

T21520116
Position Surface form Disambiguated ID Type / Status
Subject Thal valley E530951 entity
Predicate hasMunicipality P847 FINISHED
Object Matzendorf 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: Matzendorf | Statement: [Thal valley, hasMunicipality, Matzendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matzendorf
Context triple: [Thal valley, hasMunicipality, Matzendorf]
  • A. Matzendorf chosen
    Matzendorf is a municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region of the Thal district.
  • B. Schmargendorf
    Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
  • C. Markendorf
    Markendorf is a village-level subdivision of the town of Jüterbog in the state of Brandenburg, Germany.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Porschdorf
    Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884bfa548190a39e5992ed6bb8a8 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.