Triple

T10168931
Position Surface form Disambiguated ID Type / Status
Subject River Mulde E235278 entity
Predicate hasValley P650 FINISHED
Object Muldetal (Mulde valley) E78272 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: Muldetal (Mulde valley) | Statement: [River Mulde, hasValley, Muldetal (Mulde valley)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muldetal (Mulde valley)
Context triple: [River Mulde, hasValley, Muldetal (Mulde valley)]
  • A. Freiberger Mulde
    The Freiberger Mulde is a river in Saxony, Germany, that originates in the Ore Mountains and flows northward to help form the Mulde River.
  • B. Mulde chosen
    The Mulde is a river in central Germany that flows through the state of Saxony and is formed by the confluence of the Zwickauer Mulde and Freiberger Mulde.
  • C. Mölltal
    Mölltal is a scenic alpine valley in the Austrian state of Carinthia, known for its access to the Hohe Tauern mountains and year-round glacier skiing.
  • D. Münstertal
    Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
  • E. Löstertal
    Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9ba56481908b5265aea8ea8cbe completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300ebacb88190850cf2242309b6ba completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.