Triple

T14692590
Position Surface form Disambiguated ID Type / Status
Subject Mali situation at the ICC E345070 entity
Predicate situationType P115376 FINISHED
Object non-UN Security Council referral 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: non-UN Security Council referral | Statement: [Mali situation at the ICC, situationType, non-UN Security Council referral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: situationType
Context triple: [Mali situation at the ICC, situationType, non-UN Security Council referral]
  • A. scenarioType
    Indicates the specific category or kind of situation, context, or use case that an entity or event is associated with.
  • B. typicalCircumstance
    Indicates the usual or commonly occurring situation, condition, or context in which an event, action, or relationship typically takes place.
  • C. refersSituationTo
    Indicates that one entity directs or assigns a situation, case, or matter to another entity for attention, handling, or further action.
  • D. featuresSituation
    Indicates that a situation is characterized by, or has as one of its defining aspects, the specified feature or element.
  • E. snapSituation
    Indicates a situation or context in which a sudden, decisive, or snapshot-like event or state occurs between entities.
  • F. None of above. chosen

Provenance (4 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69de6579fb7881909becc8f5822b39d4 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716d3aac8190aaa6dc1f099b86e8 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:28 a.m.