Triple

T21302756
Position Surface form Disambiguated ID Type / Status
Subject Northern Limestone Alps E525110 entity
Predicate hasSubrange P2889 FINISHED
Object Vienna Woods 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: Vienna Woods | Statement: [Northern Limestone Alps, hasSubrange, Vienna Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienna Woods
Context triple: [Northern Limestone Alps, hasSubrange, Vienna Woods]
  • A. Vienna Woods
    The Vienna Woods is a forested highland region in eastern Austria known for its natural beauty, hiking trails, and role as a green belt near Vienna.
  • B. Rottenegg
    Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
  • C. Schönengrund
    Schönengrund is a small rural municipality in northeastern Switzerland known for its scenic Appenzell countryside and traditional Swiss village character.
  • D. Wildberg
    Wildberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic setting along the Nagold River and historic half-timbered architecture.
  • E. Wienerwald chosen
    Wienerwald is a forested highland region in eastern Austria, forming the northeastern foothills of the Alps near Vienna and serving as a popular recreational area.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385da340819083c07f353f2142b0 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.