Triple

T15490322
Position Surface form Disambiguated ID Type / Status
Subject Roger De Vlaeminck E378664 entity
Predicate retirementDecade P7068 FINISHED
Object 1980s 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: 1980s | Statement: [Roger De Vlaeminck, retirementDecade, 1980s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retirementDecade
Context triple: [Roger De Vlaeminck, retirementDecade, 1980s]
  • A. retirementYear
    Indicates the specific year in which an entity retires or is officially considered retired.
  • B. retirementPeriod
    Indicates the time span during which an entity is considered to be retired or in retirement status.
  • C. decade chosen
    Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
  • D. plannedRetirement
    Indicates that an entity has scheduled or intends to end its active role or service at a specified future time.
  • E. retired
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69ded2874b788190999158e0f043be21 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:48 a.m.