Triple

T4314296
Position Surface form Disambiguated ID Type / Status
Subject Rhön E94149 entity
Predicate hasRiverSource P947 FINISHED
Object Fränkische Saale E116207 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: Fränkische Saale | Statement: [Rhön, hasRiverSource, Fränkische Saale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fränkische Saale
Context triple: [Rhön, hasRiverSource, Fränkische Saale]
  • A. Saale chosen
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • B. Unstrut River
    The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
  • C. Altmühl
    The Altmühl is a river in Bavaria, Germany, known for its slow meandering course through the Franconian countryside and its scenic valleys popular with hikers and cyclists.
  • D. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • E. Schwabach River
    The Schwabach River is a small river in Bavaria, Germany, that flows through the town of Schwabach before joining the Rednitz River.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0b17e288190b6014ad9c31a3b9f completed March 21, 2026, 2:52 p.m.
Created at: March 12, 2026, 11:12 p.m.