Triple

T11414941
Position Surface form Disambiguated ID Type / Status
Subject canton of Wissembourg E270465 entity
Predicate wasAdministeredFrom P85004 FINISHED
Object Wissembourg E321324 NE FINISHED

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: Wissembourg | Statement: [canton of Wissembourg, wasAdministeredFrom, Wissembourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wissembourg
Context triple: [canton of Wissembourg, wasAdministeredFrom, Wissembourg]
  • A. Wissembourg chosen
    Wissembourg is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and proximity to the German border.
  • B. 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.
  • C. Lörrach
    Lörrach is a town in southwest Germany’s Baden-Württemberg state, near the borders with Switzerland and France, known for its proximity to Basel and its role as a regional economic and cultural center.
  • D. Diekirch
    Diekirch is a town in northern Luxembourg known for its role in World War II, particularly during the country's liberation, and for its national military museum.
  • E. Guebwiller
    Guebwiller is a commune in northeastern France known for its wine production and location at the foot of the Vosges mountains in the Alsace region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wasAdministeredFrom
Context triple: [canton of Wissembourg, wasAdministeredFrom, Wissembourg]
  • A. historicallyAdministeredFrom chosen
    Indicates that one place or administrative unit was historically governed, managed, or overseen from another location.
  • B. administeredAfter
    Indicates that one administration event occurs later in time than another administration event.
  • C. administeredBefore
    Indicates that one treatment, medication, or intervention was given to a subject at an earlier time than another specified treatment, medication, or intervention.
  • D. administeredUntil
    Indicates that an action, treatment, or process was actively administered to an entity up to, but not beyond, a specified end time or date.
  • E. administeredWith
    Indicates that two or more treatments, drugs, or interventions are given to a patient at the same time or as part of the same therapeutic regimen.
  • F. None of above.

Provenance (4 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee864bf89081909fa336393e59f073 completed April 26, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69d7e70ffd708190b62a78ebcbce9f78 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.