Triple

T20016316
Position Surface form Disambiguated ID Type / Status
Subject Southern Bavaria E494726 entity
Predicate hasRiver P165 FINISHED
Object Inn E41132 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: Inn | Statement: [Southern Bavaria, hasRiver, Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inn
Context triple: [Southern Bavaria, hasRiver, Inn]
  • A. Inn chosen
    The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • B. River Inn
    The River Inn is a major tributary of the Danube that flows through Switzerland, Austria, and Germany, shaping numerous Alpine and Bavarian landscapes and towns along its course.
  • C. The Inn Kitchen
    "The Inn Kitchen" is a short story by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that evokes the atmosphere and characters of an English inn.
  • D. Via Inn
    Via Inn is a Japanese business hotel chain operated by JR-West Hotels, known for its convenient locations near train stations and practical, budget-friendly accommodations.
  • E. Wayside Inn
    Wayside Inn is a historic colonial-era tavern and lodging house in Sudbury, Massachusetts, famed as one of the oldest operating inns in the United States and for its association with Henry Wadsworth Longfellow.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623cb8188190b95913ffed895930 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e25511081909f4bd039531c30ec completed May 16, 2026, 6:26 a.m.
Created at: April 11, 2026, 3:34 p.m.