Triple

T13120456
Position Surface form Disambiguated ID Type / Status
Subject Grand Duchy E311704 entity
Predicate hasModernExample P66847 FINISHED
Object Luxembourg E1844 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: Luxembourg | Statement: [Grand Duchy, hasModernExample, Luxembourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxembourg
Context triple: [Grand Duchy, hasModernExample, Luxembourg]
  • A. Luxembourg chosen
    Luxembourg is a small, landlocked Western European country known for its prosperous economy, status as a major financial center, and role as a founding member of the European Union.
  • B. Luxemburg
    Luxemburg is a surname most famously associated with Rosa Luxemburg, the Marxist theorist, revolutionary socialist, and co-founder of the Spartacist League in Germany.
  • C. Lichtenstein
    Lichtenstein is a surname most famously associated with Roy Lichtenstein, the American pop artist known for his comic-strip-inspired paintings.
  • D. Lichtenstein
    Lichtenstein is a municipality in the district of Reutlingen in the German state of Baden-Württemberg, known for the nearby Lichtenstein Castle.
  • E. Belgium and Luxembourg
    Belgium and Luxembourg are neighboring Western European countries that share a close historical, economic, and cultural relationship within the Benelux union.
  • 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: hasModernExample
Context triple: [Grand Duchy, hasModernExample, Luxembourg]
  • A. includesModernElement
    Indicates that something contains or incorporates at least one feature, component, or aspect that is characteristic of the modern era.
  • B. isModern
    Indicates that something belongs to, reflects, or is characteristic of the contemporary or recent period, especially in style, design, or thinking.
  • C. modernExample chosen
    Indicates that something serves as a contemporary or current-day instance or illustration of something else.
  • D. hasModernMaterial
    Indicates that an entity incorporates or is made from contemporary, recently developed, or non-traditional materials.
  • E. hasModernFormulationIn
    Indicates that something has a contemporary or updated version expressed or formulated within a specified context, framework, or medium.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e26e5d6881908663444bca67b01e completed May 3, 2026, 5:51 a.m.
PD Predicate disambiguation batch_69d98043a74c81908648e6cd0b4c7f71 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:06 p.m.