Triple

T18480936
Position Surface form Disambiguated ID Type / Status
Subject Tennengau E451553 entity
Predicate hasLandscapeFeature P1094 FINISHED
Object Tennengebirge 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: Tennengebirge | Statement: [Tennengau, hasLandscapeFeature, Tennengebirge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennengebirge
Context triple: [Tennengau, hasLandscapeFeature, Tennengebirge]
  • A. Tennengebirge chosen
    Tennengebirge is a limestone mountain range in the Northern Limestone Alps of Austria, known for its extensive karst plateaus and caves.
  • B. Shar Mountains
    The Shar Mountains are a rugged mountain range in the Balkans, spanning parts of North Macedonia, Kosovo, and Albania, known for their high peaks, glacial lakes, and rich biodiversity.
  • C. Black Mountains
    The Black Mountains are a range of hills and mountains in southeast Wales and the Welsh–English border, known for their rugged landscapes, open moorland, and popular hiking routes.
  • D. Black Mountains
    The Black Mountains are a rugged, dark-hued mountain range in Death Valley National Park, California, known for their stark desert landscapes and dramatic relief.
  • E. Black Mountains
    The Black Mountains are a prominent mountain range in western North Carolina, USA, known for containing the highest peaks in the eastern United States.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d3d13c81909c52d797360b840a completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.