Triple

T21518562
Position Surface form Disambiguated ID Type / Status
Subject Oberdorf (SO) E530909 entity
Predicate district P2709 FINISHED
Object Lebern District 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: Lebern District | Statement: [Oberdorf (SO), district, Lebern District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebern District
Context triple: [Oberdorf (SO), district, Lebern District]
  • A. Lebern District chosen
    Lebern District is an administrative district in the canton of Solothurn in northwestern Switzerland.
  • B. Mohrungen district
    Mohrungen district was a former administrative district in East Prussia, centered around the town of Mohrungen (now Morąg in Poland), that existed under German rule until the end of World War II.
  • C. Steinburg district
    Steinburg district is a rural administrative district in the German state of Schleswig-Holstein, with Itzehoe as its capital.
  • D. Höfe District
    Höfe District is an administrative district in the canton of Schwyz in central Switzerland, situated along the upper Lake Zurich and known for its affluent lakeside communities.
  • E. Lilienthal District
    Lilienthal District is an administrative area located within the Mostviertel region of Lower Austria, known for its rural landscapes and agricultural character.
  • 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_69ee81438cbc8190aba0f546b27eb2a4 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:25 p.m.