Triple

T12270384
Position Surface form Disambiguated ID Type / Status
Subject Belgian neutrality E292454 entity
Predicate imposedRestriction P88585 FINISHED
Object prohibition on joining military alliances 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: prohibition on joining military alliances | Statement: [Belgian neutrality, imposedRestriction, prohibition on joining military alliances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: imposedRestriction
Context triple: [Belgian neutrality, imposedRestriction, prohibition on joining military alliances]
  • A. mayHaveRestriction
    Indicates that an entity can be subject to one or more limitations, conditions, or constraints, though such restrictions are not necessarily present.
  • B. notableRestriction
    Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
  • C. mandateRestriction chosen
    Indicates that an authority imposes a binding limitation or requirement on an entity’s actions or conditions.
  • D. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • E. movementRestrictions
    Indicates limitations, rules, or prohibitions that constrain how, where, or when an entity is allowed to move.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d9380a5e78819086bd4dfe9a83d1f5 completed April 10, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69d91c4a66cc819083ce6fcaf5042af6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.