Triple

T10281910
Position Surface form Disambiguated ID Type / Status
Subject Hanna Schygulla E241119 entity
Predicate placeOfBirth P1 FINISHED
Object Königshütte E522566 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: [Hanna Schygulla, placeOfBirth, Königshütte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Königshütte
Context triple: [Hanna Schygulla, placeOfBirth, Königshütte]
  • A. Königshütte
    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 chosen
    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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a177b48190aab7d7857f5bba7b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8352a108190b3692a2de3cb4dea completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:39 a.m.