Triple

T23308090
Position Surface form Disambiguated ID Type / Status
Subject Holzgauer Wetterspitze E590504 entity
Predicate near P350 FINISHED
Object Stanzer Tal 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: Stanzer Tal | Statement: [Holzgauer Wetterspitze, near, Stanzer Tal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanzer Tal
Context triple: [Holzgauer Wetterspitze, near, Stanzer Tal]
  • A. Stanzer Valley chosen
    Stanzer Valley is a scenic alpine valley in the Austrian state of Tyrol, known for its mountain landscapes and traditional villages.
  • B. Okertal
    Okertal is a scenic valley in the Harz Mountains of Germany, known for its rugged rock formations, forests, and the Oker River running through it.
  • C. Stans valley
    Stans valley is a scenic alpine valley in central Switzerland known for its surrounding mountains, traditional villages, and outdoor recreation opportunities.
  • D. Taza Gap
    Taza Gap is a strategically important mountain pass in northern Morocco that historically served as a key route between the interior and coastal regions.
  • E. Tennenlohe
    Tennenlohe is a district of Erlangen in Bavaria, Germany, known for its proximity to research institutions and the Tennenlohe Forest nature reserve.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197292fd08190bc364e1433dde213 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.