Triple

T21205377
Position Surface form Disambiguated ID Type / Status
Subject Belm E522562 entity
Predicate locatedInRiverBasin P18951 FINISHED
Object Weser river basin NE NERFINISHED

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: Weser river basin | Statement: [Belm, locatedInRiverBasin, Weser river basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weser river basin
Context triple: [Belm, locatedInRiverBasin, Weser river basin]
  • A. Weser drainage basin chosen
    The Weser drainage basin is the catchment area in northwestern Germany where all surface water ultimately flows into the Weser River and then into the North Sea.
  • B. Ems River basin
    The Ems River basin is the catchment area in northwestern Germany that collects the waters of the Ems River and its tributaries before they flow into the North Sea.
  • C. Rhine River Basin
    The Rhine River Basin is the extensive catchment area of the Rhine River, spanning several European countries and supporting major ecosystems, industries, and transportation networks.
  • D. Elbe basin
    The Elbe basin is the extensive drainage area of the Elbe River in Central Europe, encompassing parts of Germany, the Czech Republic, and neighboring regions.
  • E. Lippe river basin
    The Lippe river basin is the catchment area in North Rhine-Westphalia, Germany, drained by the Lippe River and its tributaries, encompassing a mix of industrial, urban, and agricultural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734342e9081909e241bed54dbc0b4 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:20 p.m.