Triple

T3106111
Position Surface form Disambiguated ID Type / Status
Subject International Criminal Court E64833 entity
Predicate canReceiveReferralsFrom P34889 FINISHED
Object States Parties 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: States Parties | Statement: [International Criminal Court, canReceiveReferralsFrom, States Parties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canReceiveReferralsFrom
Context triple: [International Criminal Court, canReceiveReferralsFrom, States Parties]
  • A. isReferralCenterFor
    Indicates that one entity serves as a designated center to which other entities send or direct cases, clients, or tasks for specialized services or handling.
  • B. canRefer
    Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
  • C. supportsReferral chosen
    Indicates that one entity enables, accepts, or facilitates referrals being made to another entity or service.
  • D. canLiaiseWith
    Indicates that one entity is able or permitted to communicate and coordinate directly with another entity for collaboration or information exchange.
  • E. acceptedIn
    Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.