Triple

T9549863
Position Surface form Disambiguated ID Type / Status
Subject Schärding E230391 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Neuhaus am Inn E762820 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: Neuhaus am Inn | Statement: [Schärding, hasNeighbouringSettlement, Neuhaus am Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuhaus am Inn
Context triple: [Schärding, hasNeighbouringSettlement, Neuhaus am Inn]
  • A. Neuhaus am Inn chosen
    Neuhaus am Inn is a Bavarian municipality on the River Inn near the Austrian border, known for its rural character and proximity to the city of Passau.
  • B. Niederwerrn
    Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • D. Kößlarn
    Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
  • E. Obernzell
    Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9906bc90819086f105c453e63c83 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d79445b9288190a684184285966fa8 completed April 9, 2026, 11:57 a.m.
Created at: March 30, 2026, 8:02 p.m.