Triple

T2025334
Position Surface form Disambiguated ID Type / Status
Subject Southern Germany E44192 entity
Predicate hasAttraction P105 FINISHED
Object Zugspitze E41130 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: Zugspitze | Statement: [Southern Germany, hasAttraction, Zugspitze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugspitze
Context triple: [Southern Germany, hasAttraction, Zugspitze]
  • A. Zugspitze chosen
    Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
  • B. Lenzspitze
    Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
  • C. Watzmann
    Watzmann is a prominent mountain massif in the Bavarian Alps, renowned for its striking peaks and dramatic presence above the town of Berchtesgaden.
  • D. 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.
  • E. Wildspitze
    Wildspitze is a prominent mountain in the Ötztal Alps of Tyrol, Austria, known as one of the country's highest and most popular alpine climbing peaks.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae270d7740819084f67c5f92a9995d completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:38 p.m.