Triple

T9901584
Position Surface form Disambiguated ID Type / Status
Subject Unterweser E182294 entity
Predicate isSectionOf P3120 FINISHED
Object lower Weser E33257 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: lower Weser | Statement: [Unterweser, isSectionOf, lower Weser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lower Weser
Context triple: [Unterweser, isSectionOf, lower Weser]
  • A. Lippe
    Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
  • B. Lippe
    The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
  • C. Wupper
    The Wupper is a river in North Rhine-Westphalia, Germany, known for flowing through the industrial city of Wuppertal and its surrounding region.
  • D. Weser chosen
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • E. Wupper basin
    The Wupper basin is a river catchment area in North Rhine-Westphalia, Germany, drained by the Wupper River and encompassing several towns and cities in the Bergisches Land region.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e221448190b536742d1269f9d7 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2125208190b4cf549d67d1ca42 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.