Triple

T20001803
Position Surface form Disambiguated ID Type / Status
Subject Schwalm River E494348 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Schwalm 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: Schwalm | Statement: [Schwalm River, hasCulturalRegion, Schwalm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwalm
Context triple: [Schwalm River, hasCulturalRegion, Schwalm]
  • A. Schwalm River chosen
    The Schwalm River is a waterway in the German state of Hesse that lends its name to the surrounding Schwalm-Eder region.
  • B. Töss River
    The Töss River is a tributary of the Rhine in the canton of Zurich, Switzerland, known for flowing through the Töss Valley and past several towns including Winterthur.
  • C. Aschaff River
    The Aschaff River is a small river in Bavaria, Germany, that flows through the Spessart region before joining the Main River.
  • D. 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.
  • E. Ziegelbach
    Ziegelbach is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a222908190b88e1d11cb1b7ee3 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.