Triple

T6983906
Position Surface form Disambiguated ID Type / Status
Subject Bilquis Hyder E161913 entity
Predicate fictionalEthnoCulturalContext P64832 FINISHED
Object Pakistani 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: Pakistani | Statement: [Bilquis Hyder, fictionalEthnoCulturalContext, Pakistani]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalEthnoCulturalContext
Context triple: [Bilquis Hyder, fictionalEthnoCulturalContext, Pakistani]
  • A. fictionalEthnoCulturalIdentity
    Indicates that an entity is associated with an invented or imaginary ethnic or cultural identity, rather than a real-world one.
  • B. fictionalOrigin
    Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
  • C. depictsEthnicContext
    Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with another entity.
  • D. hasEthnolinguisticContext chosen
    Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
  • E. fictionalizationOf
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbbd926c8190a8b60527bd553fa3 completed March 27, 2026, 7:34 p.m.
PD Predicate disambiguation batch_69c6d7c4a18881908d267137daed828b completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:31 p.m.