Triple

T3688939
Position Surface form Disambiguated ID Type / Status
Subject Innerste E78296 entity
Predicate flowsThrough P225 FINISHED
Object Bad Salzdetfurth E158259 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 Salzdetfurth | Statement: [Innerste, flowsThrough, Bad Salzdetfurth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Salzdetfurth
Context triple: [Innerste, flowsThrough, Bad Salzdetfurth]
  • A. Bad Salzdetfurth chosen
    Bad Salzdetfurth is a spa town in Lower Saxony, Germany, known for its historic saltworks and therapeutic health resorts.
  • B. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • C. Barsinghausen
    Barsinghausen is a town in Lower Saxony, Germany, located near Hanover and known historically for its mining industry and proximity to the Deister hills.
  • D. Bad Hersfeld
    Bad Hersfeld is a spa town in the German state of Hesse, renowned for its historic abbey ruins and annual Bad Hersfelder Festspiele theatre festival.
  • E. Nordhausen
    Nordhausen is a historic town in central Germany known for its medieval architecture, former role as a key trading center, and association with the nearby Mittelbau-Dora concentration camp site.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c960788190b73ede08658846aa completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c5b6488190afb8cc599d633a96 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.