Triple

T22530285
Position Surface form Disambiguated ID Type / Status
Subject Roth district E557013 entity
Predicate hasMunicipality P847 FINISHED
Object Kammerstein NE NERFINISHED

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: Kammerstein | Statement: [Roth district, hasMunicipality, Kammerstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kammerstein
Context triple: [Roth district, hasMunicipality, Kammerstein]
  • A. Kammerstein chosen
    Kammerstein is a municipality in the Roth district of Bavaria, Germany, known for its rural character and proximity to the metropolitan region of Nuremberg.
  • B. Vestenbergsgreuth
    Vestenbergsgreuth is a small rural municipality in the Bavarian region of Germany, known for its agricultural setting and local Franconian character.
  • C. Felsenegg
    Felsenegg is a popular vantage point and recreational area in the Albis hills near Zurich, Switzerland, known for its panoramic views over Lake Zurich and the surrounding region.
  • D. Schrankogel
    Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
  • E. Dachstein
    Dachstein is a prominent mountain massif and glacier region in the Northern Limestone Alps of Austria, known for its dramatic peaks, ice caves, and popular hiking and skiing areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed6734881908abbbee477dfab98 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.