Triple

T13113350
Position Surface form Disambiguated ID Type / Status
Subject Selketal E311029 entity
Predicate hasSettlement P1068 FINISHED
Object Silberhütte E327735 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: Silberhütte | Statement: [Selketal, hasSettlement, Silberhütte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silberhütte
Context triple: [Selketal, hasSettlement, Silberhütte]
  • A. Georgsmarienhütte
    Georgsmarienhütte is a town in Lower Saxony, Germany, historically shaped by its steel industry and located just south of the city of Osnabrück.
  • B. Lucknerhütte
    Lucknerhütte is a popular alpine hut in the Austrian Alps that serves as a key base for hikers and mountaineers heading toward Großglockner and surrounding peaks.
  • C. Breslauer Hütte
    Breslauer Hütte is a popular high-altitude mountain hut in the Ötztal Alps of Austria, serving as a key base for climbers ascending Wildspitze and other surrounding peaks.
  • D. Rothornhütte
    Rothornhütte is a high-altitude Swiss Alpine Club mountain hut in the Pennine Alps that serves as a popular base for climbers and hikers in the Zermatt region.
  • E. Königshütte chosen
    Königshütte is a village in the Harz region of central Germany, known for its scenic surroundings, reservoirs, and hiking opportunities.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27f5c4481909bc323c9d0c83dc9 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:06 p.m.