Triple

T15049681
Position Surface form Disambiguated ID Type / Status
Subject Upper Bode E379322 entity
Predicate hasMouthNear P350 FINISHED
Object Königshütte 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: Königshütte | Statement: [Upper Bode, hasMouthNear, Königshütte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Königshütte
Context triple: [Upper Bode, hasMouthNear, Königshütte]
  • A. Königshütte chosen
    Königshütte is a village in the Harz region of central Germany, known for its scenic surroundings, reservoirs, and hiking opportunities.
  • B. Fischerhütte
    Fischerhütte is a well-known mountain hut located near the summit of the Schneeberg in Lower Austria, serving as a popular rest stop for hikers and climbers.
  • C. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • D. 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.
  • E. Georgsmarienhütte
    Georgsmarienhütte is a town in Lower Saxony, Germany, historically shaped by its steel industry and located just south of the city of Osnabrück.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b96ae08190b15873634b67e8d9 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.