Triple

T10441020
Position Surface form Disambiguated ID Type / Status
Subject Kelheim E246167 entity
Predicate locatedAtConfluenceOf P11842 FINISHED
Object Altmühl E126692 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: Altmühl | Statement: [Kelheim, locatedAtConfluenceOf, Altmühl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altmühl
Context triple: [Kelheim, locatedAtConfluenceOf, Altmühl]
  • A. Altmühl chosen
    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.
  • B. Wiesent
    The Wiesent is a river in Upper Franconia, Bavaria, known for flowing through the scenic Franconian Switzerland region and offering popular spots for canoeing and fishing.
  • C. Fränkische Saale
    The Fränkische Saale is a river in northern Bavaria, Germany, known for flowing through the Franconian wine region and eventually joining the Main River.
  • D. Regnitz
    The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
  • E. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9df6fc8190830f405ef955d64b completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50983ce848190ab375145019ff69b completed April 19, 2026, 4:57 p.m.
Created at: April 6, 2026, 12:15 p.m.