Triple

T18459708
Position Surface form Disambiguated ID Type / Status
Subject Rheinbach E450998 entity
Predicate hasRiver P165 FINISHED
Object Swist 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: Swist | Statement: [Rheinbach, hasRiver, Swist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swist
Context triple: [Rheinbach, hasRiver, Swist]
  • A. Swist chosen
    Swist is a small river in North Rhine-Westphalia, Germany, that flows through the town of Rheinbach and into the Rhine basin.
  • B. Swedru
    Swedru is a prominent commercial town in southern Ghana known for its role as a transport hub and marketplace in the Central Region.
  • C. Schwendi
    Schwendi is a municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • D. Schistolais
    Schistolais is a small genus of African warblers known for their insectivorous habits and association with woodland and forest-edge habitats.
  • E. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.