Triple

T14962240
Position Surface form Disambiguated ID Type / Status
Subject Große Olympiaschanze E373090 entity
Predicate near P350 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: [Große Olympiaschanze, near, Zugspitze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugspitze
Context triple: [Große Olympiaschanze, near, Zugspitze]
  • A. Zugspitze chosen
    Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
  • B. Parrotspitze
    Parrotspitze is a prominent Alpine peak exceeding 4,000 meters in elevation, located in the Pennine Alps on the border between Italy and Switzerland.
  • C. Königspitze
    Königspitze is a prominent high peak in the Eastern Alps of northern Italy, renowned among mountaineers for its steep faces and challenging climbing routes.
  • D. Schneefernerkopf
    Schneefernerkopf is a prominent peak in the Bavarian Alps near Germany’s highest mountain, Zugspitze, known for its rugged terrain and alpine scenery.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cece6881908cd8c8fe41583bee completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc4715c81908b4745996d660f7c completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:40 a.m.