Triple

T32582765
Position Surface form Disambiguated ID Type / Status
Subject Royal Order of the Lion E832833 entity
Predicate laterLinkedTo P60493 FINISHED
Object Belgian Congo NE NERFINISHED

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: Belgian Congo | Statement: [Royal Order of the Lion, laterLinkedTo, Belgian Congo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterLinkedTo
Context triple: [Royal Order of the Lion, laterLinkedTo, Belgian Congo]
  • A. currentlyLinkedTo
    Indicates that one entity is at this moment connected or associated with another entity in an ongoing relationship or linkage.
  • B. laterRelationWith chosen
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • C. hasBeenLinkedTo
    Indicates that an entity has been associated or connected with another entity, often suggesting a reported or inferred relationship between them.
  • D. linkedToDate
    Indicates that an entity is associated or connected to a specific date or point in time.
  • E. canBeLinkedTo
    Indicates that one entity has the potential or capability to be connected or associated with another entity.
  • 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_69f349289adc81909f4374a58ec35a39 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff9bed58dc8190a204816d4ed6c32c completed May 9, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69ff9b69653c81908ab0d88055a66a88 completed May 9, 2026, 8:39 p.m.
Created at: May 1, 2026, 1:04 a.m.