Triple

T37698848
Position Surface form Disambiguated ID Type / Status
Subject Deputy Mayor of Karachi E939001 entity
Predicate governmentalJurisdictionType P3734 FINISHED
Object city 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: city | Statement: [Deputy Mayor of Karachi, governmentalJurisdictionType, city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentalJurisdictionType
Context triple: [Deputy Mayor of Karachi, governmentalJurisdictionType, city]
  • A. governmentalJurisdictionOf
    Indicates that one governmental body has official legal authority or control over the territory, people, or activities of another entity.
  • B. governmentJurisdiction
    Indicates the governmental body or authority that has legal power, control, or regulatory oversight over a given entity or activity.
  • C. typeOfJurisdiction chosen
    Indicates the specific kind or category of legal authority or control that one jurisdiction holds in relation to a given legal or administrative context.
  • D. governmentFormOfJurisdiction
    Indicates the type or structure of government that administers or rules a given jurisdiction.
  • E. territorialJurisdictionOf
    Indicates that one entity has legal or administrative authority over a specific geographic area or territory 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_69f76eda6ae48190b3111071eeacc038 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a036fb4650c81908df9b9ec8ed8594b completed May 12, 2026, 6:21 p.m.
PD Predicate disambiguation batch_6a036f64dc648190a31cf944d3ea0f7d completed May 12, 2026, 6:20 p.m.
Created at: May 3, 2026, 4:18 p.m.