Triple

T18169639
Position Surface form Disambiguated ID Type / Status
Subject Ansbach district E434988 entity
Predicate hasRiver P165 FINISHED
Object Wörnitz 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: Wörnitz | Statement: [Ansbach district, hasRiver, Wörnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wörnitz
Context triple: [Ansbach district, hasRiver, Wörnitz]
  • A. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • B. Weschnitz
    Weschnitz is a river in southwestern Germany that flows from the Odenwald hills through Hesse and Baden-Württemberg before joining the Rhine.
  • C. River Wörnitz chosen
    River Wörnitz is a river in Bavaria, Germany, that flows through historic towns such as Dinkelsbühl before joining the Danube.
  • D. Pließnitz
    Pließnitz is a small river in eastern Germany that flows through Saxony and joins the Lusatian Neisse.
  • E. Kraichbach
    Kraichbach is a small river in southwestern Germany that flows through the Kraichgau region before joining the Rhine.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df555af081908a2f12bce6a13f56 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.