Triple

T3632415
Position Surface form Disambiguated ID Type / Status
Subject Belgian nationality law E76986 entity
Predicate previouslyRestricted P10612 FINISHED
Object dual citizenship before 2008 reforms 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: dual citizenship before 2008 reforms | Statement: [Belgian nationality law, previouslyRestricted, dual citizenship before 2008 reforms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyRestricted
Context triple: [Belgian nationality law, previouslyRestricted, dual citizenship before 2008 reforms]
  • A. previouslyLicensedAs
    Indicates that an entity held a license under a different name or status at some earlier time.
  • B. previouslyOutside
    Indicates that an entity was located outside a specified area or boundary at some earlier time prior to the current reference point.
  • C. previouslySupported
    Indicates that an entity provided support to another entity at some time in the past, but not necessarily in the present.
  • D. formerLegalRestriction chosen
    Indicates that a legal restriction once applied to an entity or relationship but is no longer in effect.
  • E. previouslyAdmitted
    Indicates that an entity has already been admitted or accepted at an earlier time prior to the current reference point.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30251d881908284edeb7fe69ad8 completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:23 p.m.