Triple

T18046161
Position Surface form Disambiguated ID Type / Status
Subject Rheingau-Taunus-Kreis E431777 entity
Predicate containsMunicipality P852 FINISHED
Object Lorch 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: Lorch | Statement: [Rheingau-Taunus-Kreis, containsMunicipality, Lorch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorch
Context triple: [Rheingau-Taunus-Kreis, containsMunicipality, Lorch]
  • A. Lorch chosen
    Lorch is a historic town on the Upper Middle Rhine in Germany, known for its medieval architecture, winegrowing tradition, and scenic location along the Rhine Gorge.
  • B. Tapfheim
    Tapfheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • C. Herisau
    Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
  • D. Lauterach
    Lauterach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz near the Rhine Valley.
  • E. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.