Triple

T5556585
Position Surface form Disambiguated ID Type / Status
Subject Weilburg E145657 entity
Predicate hasTwinTown P919 FINISHED
Object Colmar-Berg E404387 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: Colmar-Berg | Statement: [Weilburg, hasTwinTown, Colmar-Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colmar-Berg
Context triple: [Weilburg, hasTwinTown, Colmar-Berg]
  • A. Colmar-Berg chosen
    Colmar-Berg is a small town in central Luxembourg known for being the residence of the Grand Ducal family and the site of a major Goodyear tire factory.
  • B. Colmar
    Colmar is a picturesque historic town in northeastern France’s Alsace region, renowned for its well-preserved medieval and early Renaissance architecture and canals.
  • C. Ribeauvillé
    Ribeauvillé is a historic wine-producing town in France’s Alsace region, known for its medieval architecture and location along the Alsace Wine Route.
  • D. Wissembourg
    Wissembourg is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and proximity to the German border.
  • E. Molsheim
    Molsheim is a historic town in northeastern France’s Grand Est region, known for its medieval architecture and as the birthplace of the Bugatti automobile brand.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffc5e7c81908e1c454d3bfd357b completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d01a9948190a033947c7c031e04 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.