Triple

T15250821
Position Surface form Disambiguated ID Type / Status
Subject Saxon Switzerland E364512 entity
Predicate nearbyTown P3883 FINISHED
Object Königstein E373484 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: Königstein | Statement: [Saxon Switzerland, nearbyTown, Königstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Königstein
Context triple: [Saxon Switzerland, nearbyTown, Königstein]
  • A. Königstein chosen
    Königstein is a small historic town in Saxon Switzerland, eastern Germany, best known for the imposing Königstein Fortress overlooking the Elbe River.
  • B. Münchberg
    Münchberg is a town in the Upper Franconia region of Bavaria, Germany, known historically for its textile industry and as a local commercial center.
  • C. Meißenheim
    Meißenheim is a small municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine River.
  • D. Katharinenfeld
    Katharinenfeld was the historical German settler colony that later became the town of Bolnisi in southern Georgia.
  • E. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff133b333c81908e38e9681bf81e40 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:13 a.m.