Triple

T27702497
Position Surface form Disambiguated ID Type / Status
Subject Al Khalifa E698461 entity
Predicate controlsKeyInstitutions P27846 FINISHED
Object royal court of Bahrain 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: royal court of Bahrain | Statement: [Al Khalifa, controlsKeyInstitutions, royal court of Bahrain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlsKeyInstitutions
Context triple: [Al Khalifa, controlsKeyInstitutions, royal court of Bahrain]
  • A. focusesOnInstitutionControl
    Indicates that the primary emphasis or concern is on controlling or governing institutions and their decision-making processes.
  • B. institutionalControl
    Indicates that one institution has governing, regulatory, or managerial authority over another entity or activity.
  • C. centralInstitutionOf
    Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
  • D. hasInstitutionalControl chosen
    Indicates that one entity exercises formal authority, governance, or decision-making power over an institution or organizational body.
  • E. governsInstitution
    Indicates that one entity holds authoritative control over, manages, or directs the operations and policies of an institution.
  • 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_69ef590ea74081908f0cd7500d85fa27 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f727afd5d88190ad48735cd1b32787 completed May 3, 2026, 10:47 a.m.
PD Predicate disambiguation batch_69f72737c42c8190a3f781a5e98868ff completed May 3, 2026, 10:45 a.m.
Created at: April 27, 2026, 2:57 p.m.