Triple

T9652001
Position Surface form Disambiguated ID Type / Status
Subject Schlei E233357 entity
Predicate flowsThrough P225 FINISHED
Object Kappeln E802820 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: Kappeln | Statement: [Schlei, flowsThrough, Kappeln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kappeln
Context triple: [Schlei, flowsThrough, Kappeln]
  • A. Kappeln chosen
    Kappeln is a small town in northern Germany known for its picturesque harbor on the Schlei inlet and its traditional herring fishery.
  • B. Kapelle
    Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
  • C. Kalenberg
    Kalenberg is a small waterside village in the Dutch province of Overijssel, known for its canals, reedlands, and traditional houses amid the wetlands of the Weerribben-Wieden area.
  • D. Kalenberg
    Kalenberg is a small district (Ortsteil) of the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • E. Kappelrodeck
    Kappelrodeck is a municipality in southwestern Germany known for its wine-growing tradition and scenic location at the edge of the Black Forest.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb0cce88190b7eacc8b43450d7f completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826c91388190b82112c2ca1eae7e completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.