Triple

T8375533
Position Surface form Disambiguated ID Type / Status
Subject Central Germany E197565 entity
Predicate crossedByRiver P225 FINISHED
Object Mulde 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: Mulde | Statement: [Central Germany, crossedByRiver, Mulde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulde
Context triple: [Central Germany, crossedByRiver, Mulde]
  • A. 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.
  • B. 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.
  • C. River Mulde
    The River Mulde is a river in central Germany that flows through the states of Saxony and Saxony-Anhalt before joining the Elbe.
  • D. Oderberg
    Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
  • E. Peine
    Peine is a town in Lower Saxony, Germany, known for its industrial history and location between Hanover and Brunswick.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce3967fd108190b045ea1328b1dc4b completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:01 p.m.