Triple

T26444864
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg fortress E665187 entity
Predicate demilitarizationEndYear P154020 FINISHED
Object late 19th century LITERAL 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: late 19th century | Statement: [Luxembourg fortress, demilitarizationEndYear, late 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demilitarizationEndYear
Context triple: [Luxembourg fortress, demilitarizationEndYear, late 19th century]
  • A. demilitarizationYear chosen
    Indicates the year in which an entity’s military forces or military capabilities were formally reduced, removed, or prohibited.
  • B. demilitarizationStatusAfter1936
    Indicates the state or degree to which an area or entity remained demilitarized following the year 1936.
  • C. demilitarizationContext
    Indicates the process or circumstances in which military forces, capabilities, or infrastructure are reduced, removed, or prohibited within a specific area or situation.
  • D. demilitarizationStatus
    Indicates the extent to which military forces, equipment, or activities have been reduced, removed, or prohibited in relation to a specified entity or area.
  • E. demilitarizationTrend
    Indicates a pattern or process in which military presence, capabilities, or activities are being reduced or removed over time.
  • F. None of above.

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_69ee883c851881909e2ab04efbb3c5fe completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612607c388190ab61d1ac7d18e08d completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f60b89cc048190a9feb24466006be0 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 12:01 a.m.