Triple

T2836199
Position Surface form Disambiguated ID Type / Status
Subject B13 federal road E62356 entity
Predicate connects P390 FINISHED
Object Bad Tölz E10394 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: Bad Tölz | Statement: [B13 federal road, connects, Bad Tölz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Tölz
Context triple: [B13 federal road, connects, Bad Tölz]
  • A. Bad Tölz chosen
    Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
  • B. Bad Mergentheim
    Bad Mergentheim is a historic spa town in the German state of Baden-Württemberg, renowned for its mineral springs and picturesque setting in the Tauber Valley.
  • C. Bad Tölz-Wolfratshausen
    Bad Tölz-Wolfratshausen is a rural district in Upper Bavaria, Germany, known for its picturesque Alpine foothills, spa towns, and traditional Bavarian culture.
  • D. Bad Lauchstädt
    Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
  • E. Bad Harzburg
    Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeec60a08190b76b52042713d647 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108c7cfd48190b959e60b9e7fc0fa completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 10:01 p.m.