Triple

T5198155
Position Surface form Disambiguated ID Type / Status
Subject Schloss Anif E117322 entity
Predicate near P350 FINISHED
Object Untersberg mountain E120402 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: Untersberg mountain | Statement: [Schloss Anif, near, Untersberg mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Untersberg mountain
Context triple: [Schloss Anif, near, Untersberg mountain]
  • A. Untersberg chosen
    Untersberg is a prominent limestone massif in the Berchtesgaden Alps on the border between Austria and Germany, known for its extensive cave systems, hiking routes, and panoramic views.
  • B. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • C. Tennenlohe
    Tennenlohe is a district of Erlangen in Bavaria, Germany, known for its proximity to research institutions and the Tennenlohe Forest nature reserve.
  • D. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • E. Monte Lipman
    Monte Lipman is an American music industry executive best known as the co-founder and longtime leader of Republic Records, one of the most successful labels in contemporary popular music.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1f154481908be5d3c9cbbef92a completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a115048190b7f02b5449c444d7 completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:47 p.m.