Triple

T35485953
Position Surface form Disambiguated ID Type / Status
Subject AIIB Board of Governors E1025596 entity
Predicate regionFocusOfInstitution P21981 FINISHED
Object Asia 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: Asia | Statement: [AIIB Board of Governors, regionFocusOfInstitution, Asia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionFocusOfInstitution
Context triple: [AIIB Board of Governors, regionFocusOfInstitution, Asia]
  • A. regionOfInstitution chosen
    Indicates that a specified region is the geographic area in which an institution is located or operates.
  • B. regionOfAcademicFocus
    Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
  • C. focusesOnInstitutionControl
    Indicates that the primary emphasis or concern is on controlling or governing institutions and their decision-making processes.
  • D. centralInstitutionOf
    Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
  • E. coFoundedInstitutionFocus
    Indicates that two or more entities jointly established an institution whose primary area of activity or specialization is being specified.
  • 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_69f76dfbcdd881908c7b0b6bc502252b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffc605b0648190a7abe9128b0d857a completed May 9, 2026, 11:40 p.m.
PD Predicate disambiguation batch_69ffc5742d80819099f947ece78d5700 completed May 9, 2026, 11:38 p.m.
Created at: May 3, 2026, 4:04 p.m.