Triple

T21753937
Position Surface form Disambiguated ID Type / Status
Subject Wilhering E536985 entity
Predicate locatedInRegion P40 FINISHED
Object Hausruckviertel 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: Hausruckviertel | Statement: [Wilhering, locatedInRegion, Hausruckviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hausruckviertel
Context triple: [Wilhering, locatedInRegion, Hausruckviertel]
  • A. Hausruckviertel chosen
    Hausruckviertel is a historical and geographical region in western Upper Austria characterized by rolling hills, forests, and rural landscapes.
  • B. Magniviertel
    Magniviertel is a historic quarter in Braunschweig, Germany, known for its medieval street layout, half-timbered houses, and lively cultural and nightlife scene.
  • C. Karmeliterviertel
    Karmeliterviertel is a historic and culturally diverse neighborhood in Vienna known for its vibrant market, Jewish heritage, and lively café and restaurant scene.
  • D. Gutleutviertel
    Gutleutviertel is a riverside district of Frankfurt am Main known for its mix of residential areas, former industrial sites, and proximity to the city’s central station and Main River.
  • E. Bankenviertel
    Bankenviertel is Frankfurt am Main’s central financial district, known for its concentration of major banks, skyscrapers, and financial institutions.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8c57508190b45fb974ef0ded10 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.