Triple

T13563249
Position Surface form Disambiguated ID Type / Status
Subject Eder River E323962 entity
Predicate flowsNear P350 FINISHED
Object Bad Wildungen E516243 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 Wildungen | Statement: [Eder River, flowsNear, Bad Wildungen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Wildungen
Context triple: [Eder River, flowsNear, Bad Wildungen]
  • A. Bad Wildungen chosen
    Bad Wildungen is a German spa town in the state of Hesse, known for its mineral springs, health resorts, and extensive parklands.
  • B. Bad Rothenfelde
    Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
  • C. Bad Wörishofen
    Bad Wörishofen is a spa town in Bavaria, Germany, renowned as the birthplace of Sebastian Kneipp’s hydrotherapy and wellness treatments.
  • D. Bad Reinerz
    Bad Reinerz is the former German name of the spa town now known as Duszniki-Zdrój in southwestern Poland.
  • E. Bad Waldliesborn
    Bad Waldliesborn is a spa village in the German region of Westphalia, known for its therapeutic mineral springs and health tourism.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dad601481908de5f266f01f3f49 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.