Triple

T2938198
Position Surface form Disambiguated ID Type / Status
Subject Brocken E79319 entity
Predicate hasStructure P35 FINISHED
Object Brocken summit station E79319 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: Brocken summit station | Statement: [Brocken, hasStructure, Brocken summit station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brocken summit station
Context triple: [Brocken, hasStructure, Brocken summit station]
  • A. Brocken chosen
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • B. Zugspitzplatt
    Zugspitzplatt is a high alpine plateau on Germany’s highest mountain, known for its glacier remnants, ski area, and access to the Zugspitze summit.
  • C. Schneeferner
    Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
  • D. Feldberg
    Feldberg is the tallest mountain in Germany’s Black Forest region, known for its scenic landscapes and popular hiking and skiing opportunities.
  • E. Lenzspitze
    Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986c1c0c8190a6a9f17082438cfd completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc7063dc819086ae9280d060313e completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:56 p.m.