Triple

T25110347
Position Surface form Disambiguated ID Type / Status
Subject Manora, Karachi E628971 entity
Predicate administrativelyClassifiedAs P24573 FINISHED
Object neighborhood 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: neighborhood of Karachi | Statement: [Manora, Karachi, administrativelyClassifiedAs, neighborhood of Karachi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativelyClassifiedAs
Context triple: [Manora, Karachi, administrativelyClassifiedAs, neighborhood of Karachi]
  • A. areClassifiedBy
    Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
  • B. governingClassification
    Indicates the classification system or category framework that determines how an entity is organized, labeled, or regulated.
  • C. isClassifiedUnder chosen
    Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
  • D. usuallyClassifiedAs
    Indicates that an entity is most commonly or typically placed into a particular category or type, though other classifications may also exist.
  • E. administrativelyIn
    Indicates that one entity is located within or belongs to the jurisdiction or governance area of another entity for administrative purposes.
  • 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_69e2ff3169d08190973b6061d5009abd completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f5f6baf2d48190a6a4cd6501be87d2 completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
Created at: April 18, 2026, 6:26 a.m.