Triple

T8713092
Position Surface form Disambiguated ID Type / Status
Subject Schneeferner E206826 entity
Predicate near P350 FINISHED
Object Zugspitzplatt plateau E206825 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: Zugspitzplatt plateau | Statement: [Schneeferner, near, Zugspitzplatt plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugspitzplatt plateau
Context triple: [Schneeferner, near, Zugspitzplatt plateau]
  • A. Zugspitzplatt chosen
    Zugspitzplatt is a high alpine plateau on Germany’s highest mountain, known for its glacier remnants, ski area, and access to the Zugspitze summit.
  • B. Seefeld Plateau
    The Seefeld Plateau is a high-altitude Alpine terrace in Tyrol, Austria, known for its scenic mountain landscapes and popular ski and cross-country skiing resorts.
  • C. Dransfeld plateau
    The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
  • D. Dreiborn Plateau
    Dreiborn Plateau is a high, open upland area in Germany’s Eifel region known for its expansive grasslands, former military training grounds, and rich biodiversity within Eifel National Park.
  • E. Kirchberg plateau
    The Kirchberg plateau is a prominent district in Luxembourg City known for hosting major European Union institutions, financial centers, and modern cultural venues.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28cd239c81909d1feb98b652eb26 completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:35 p.m.