Triple

T1983470
Position Surface form Disambiguated ID Type / Status
Subject Aachen E43082 entity
Predicate hasHistoricalName P2834 FINISHED
Object Aix-la-Chapelle E43082 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: Aix-la-Chapelle | Statement: [Aachen, hasHistoricalName, Aix-la-Chapelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aix-la-Chapelle
Context triple: [Aachen, hasHistoricalName, Aix-la-Chapelle]
  • A. Aachen chosen
    Aachen is a historic German city near the borders with Belgium and the Netherlands, renowned for its medieval cathedral, role as a coronation site for Holy Roman Emperors, and significance in both World Wars.
  • B. Maastricht
    Maastricht is a historic city in the southeastern Netherlands known for its medieval architecture, vibrant cultural scene, and as the birthplace of the Maastricht Treaty that founded the European Union.
  • C. Bonn
    Bonn is a historic German city on the Rhine River, best known for being the birthplace of Ludwig van Beethoven and the former seat of the federal government before reunification.
  • D. Vienna
    Vienna is the capital city of Austria, renowned for its rich imperial history, classical music heritage, and vibrant cultural and intellectual life.
  • E. Vienna
    Vienna is a suburban town in Fairfax County, Virginia, known for its residential neighborhoods, proximity to Washington, D.C., and access to the Washington Metro via the nearby Vienna/Fairfax–GMU station.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb820815481908aac6d89b437225b completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03301a2481909f6147482d490b90 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.