Triple

T19846437
Position Surface form Disambiguated ID Type / Status
Subject Limburg-Weilburg E476870 entity
Predicate contains P35 FINISHED
Object Weilmünster 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: Weilmünster | Statement: [Limburg-Weilburg, contains, Weilmünster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weilmünster
Context triple: [Limburg-Weilburg, contains, Weilmünster]
  • A. Altmünster
    Altmünster is a market town in Upper Austria, situated on the shores of Lake Traunsee and known for its scenic Alpine surroundings.
  • B. Altenmünster
    Altenmünster is a municipality in the Swabian region of Bavaria, Germany, known for its rural character and location within the Augsburg district.
  • C. Münnerstadt
    Münnerstadt is a historic small town in northern Bavaria, Germany, known for its well-preserved medieval architecture and location in the spa region of Lower Franconia.
  • D. Kirchlauter
    Kirchlauter is a small municipality in northern Bavaria, Germany, known for its rural character and location within the Haßberge region.
  • E. Kleinmünster
    Kleinmünster is a small locality in the Haßberge district of northern Bavaria, Germany.
  • 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: Weilmünster
Target entity description: Weilmünster is a municipality in the Limburg-Weilburg district of Hesse, Germany, known for its rural character and location in the Lahn valley region.
  • A. Altmünster
    Altmünster is a market town in Upper Austria, situated on the shores of Lake Traunsee and known for its scenic Alpine surroundings.
  • B. Altenmünster
    Altenmünster is a municipality in the Swabian region of Bavaria, Germany, known for its rural character and location within the Augsburg district.
  • C. Münnerstadt
    Münnerstadt is a historic small town in northern Bavaria, Germany, known for its well-preserved medieval architecture and location in the spa region of Lower Franconia.
  • D. Kirchlauter
    Kirchlauter is a small municipality in northern Bavaria, Germany, known for its rural character and location within the Haßberge region.
  • E. Kleinmünster
    Kleinmünster is a small locality in the Haßberge district of northern Bavaria, Germany.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65809da2c8190bb579ef42513b74d completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.