Triple

T19443619
Position Surface form Disambiguated ID Type / Status
Subject Felda E486413 entity
Predicate partOf P40 FINISHED
Object Werra river system 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: Werra river system | Statement: [Felda, partOf, Werra river system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werra river system
Context triple: [Felda, partOf, Werra river system]
  • A. Werra chosen
    The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
  • B. Gera River
    The Gera River is a waterway in central Germany that flows through the city of Erfurt in the state of Thuringia.
  • C. Fulda River
    The Fulda River is a major river in central Germany that flows through the state of Hesse and joins the Werra River at Hann. Münden to form the Weser.
  • D. Rednitz–Regnitz–Main river system
    The Rednitz–Regnitz–Main river system is a connected network of rivers in Franconia, Germany, that ultimately channels regional waterways, including tributaries like the Schwabach, toward the Main River and the Rhine basin.
  • E. Saale-Unstrut
    Saale-Unstrut is a historic German wine region in the states of Saxony-Anhalt and Thuringia, known for its cool-climate white wines and terraced vineyards along the Saale and Unstrut rivers.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63387e2048190bfb13fea434ddb46 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.