Triple

T21615882
Position Surface form Disambiguated ID Type / Status
Subject Weilburg ship tunnel E533433 entity
Predicate locatedInCountrySubdivision P766 FINISHED
Object Landkreis Limburg-Weilburg NE NERFINISHED

How this triple was built (3 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: Landkreis Limburg-Weilburg | Statement: [Weilburg ship tunnel, locatedInCountrySubdivision, Landkreis Limburg-Weilburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landkreis Limburg-Weilburg
Context triple: [Weilburg ship tunnel, locatedInCountrySubdivision, Landkreis Limburg-Weilburg]
  • A. Landkreis Darmstadt-Dieburg
    Landkreis Darmstadt-Dieburg is a rural district in the German state of Hesse, located in the Rhine-Main region and surrounding the independent city of Darmstadt.
  • B. Landkreis Offenbach
    Landkreis Offenbach is a rural district in the German state of Hesse, located near Frankfurt am Main and comprising several towns and municipalities around the city of Offenbach.
  • C. Landkreis Wetteraukreis
    Landkreis Wetteraukreis is a rural district in the German state of Hesse, known for its mix of historic towns, agricultural landscapes, and proximity to the Frankfurt metropolitan area.
  • D. Landkreis Kassel
    Landkreis Kassel is a rural district in northern Hesse, Germany, surrounding the city of Kassel and encompassing a mix of small towns, villages, and natural landscapes.
  • E. Rheingau-Taunus-Kreis
    Rheingau-Taunus-Kreis is a rural district in the German state of Hesse, known for its wine-growing Rheingau region and its location along the Taunus mountains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landkreis Limburg-Weilburg
Target entity description: Landkreis Limburg-Weilburg is a rural district in the German state of Hesse, known for its historic towns, river landscapes, and cultural heritage.
  • A. Landkreis Darmstadt-Dieburg
    Landkreis Darmstadt-Dieburg is a rural district in the German state of Hesse, located in the Rhine-Main region and surrounding the independent city of Darmstadt.
  • B. Landkreis Offenbach
    Landkreis Offenbach is a rural district in the German state of Hesse, located near Frankfurt am Main and comprising several towns and municipalities around the city of Offenbach.
  • C. Landkreis Wetteraukreis
    Landkreis Wetteraukreis is a rural district in the German state of Hesse, known for its mix of historic towns, agricultural landscapes, and proximity to the Frankfurt metropolitan area.
  • D. Landkreis Kassel
    Landkreis Kassel is a rural district in northern Hesse, Germany, surrounding the city of Kassel and encompassing a mix of small towns, villages, and natural landscapes.
  • E. Rheingau-Taunus-Kreis
    Rheingau-Taunus-Kreis is a rural district in the German state of Hesse, known for its wine-growing Rheingau region and its location along the Taunus mountains.
  • F. None of above. chosen

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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3baab9e88190bc02f27133ef32d6 completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.