Triple

T8883124
Position Surface form Disambiguated ID Type / Status
Subject Schwangau E211457 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Roßhaupten E756963 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: Roßhaupten | Statement: [Schwangau, hasNeighbouringMunicipality, Roßhaupten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roßhaupten
Context triple: [Schwangau, hasNeighbouringMunicipality, Roßhaupten]
  • A. Roßhaupten chosen
    Roßhaupten is a small Bavarian municipality in southern Germany, known for its scenic location in the Allgäu region near the Alps and popular lakes.
  • B. Grauspitz
    Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
  • C. Schrankogel
    Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
  • D. Bärenkopf
    Bärenkopf is a mountain peak in the Austrian Alps that forms part of the Glockner Group.
  • E. Nadelhorn
    Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616b2d988190b923ef1e33aab787 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc92c2f088190b953de2bfcbb5bb5 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:53 p.m.