Triple

T37698842
Position Surface form Disambiguated ID Type / Status
Subject Deputy Mayor of Karachi E939001 entity
Predicate hasSupervisingOffice P202204 FINISHED
Object Mayor of Karachi 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: Mayor of Karachi | Statement: [Deputy Mayor of Karachi, hasSupervisingOffice, Mayor of Karachi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSupervisingOffice
Context triple: [Deputy Mayor of Karachi, hasSupervisingOffice, Mayor of Karachi]
  • A. hasSupervisingOrganization
    Indicates that an entity is overseen, managed, or directed by a specific supervising organization.
  • B. hasAssociatedOffice
    Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
  • C. supervisedAgency
    Indicates that one entity oversees, directs, or manages the activities or operations of another agency.
  • D. hasSupportingOffice
    Indicates that an entity is associated with or served by a particular office that provides support or administrative services to it.
  • E. hasSupervisoryJurisdictionOver
    Indicates that one authority or body has the legal power to review, oversee, and, if necessary, correct or direct the actions or decisions of another authority or body.
  • 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_69f76eda6ae48190b3111071eeacc038 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a0061454944819088a0babfe60f69fc completed May 10, 2026, 10:43 a.m.
PD Predicate disambiguation batch_6a0060b9ee108190b91e8d99a16f2b30 completed May 10, 2026, 10:40 a.m.
PDg Predicate description generation batch_6a0061448f6881908daa9fb0da9abefe completed May 10, 2026, 10:43 a.m.
Created at: May 3, 2026, 4:18 p.m.