Triple

T19868919
Position Surface form Disambiguated ID Type / Status
Subject Khuda Bakhsh Oriental Library E477460 entity
Predicate hasDigitalInitiatives P344 FINISHED
Object digitization of manuscripts 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: digitization of manuscripts | Statement: [Khuda Bakhsh Oriental Library, hasDigitalInitiatives, digitization of manuscripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDigitalInitiatives
Context triple: [Khuda Bakhsh Oriental Library, hasDigitalInitiatives, digitization of manuscripts]
  • A. hasDigitalInitiative chosen
    Indicates that an entity is engaged in or associated with a specific digital project, program, or transformation effort.
  • B. hasDigitalNomadInitiatives
    Indicates that an entity implements or supports programs, policies, or resources specifically designed for digital nomads.
  • C. hasPolicyInitiative
    Indicates that an entity (such as an organization or government body) undertakes, sponsors, or is responsible for a specific policy initiative or program.
  • D. hasDigitalService
    Indicates that an entity provides, offers, or is associated with a service delivered through digital or online means.
  • E. hasDigitalCollections
    Indicates that an entity possesses or provides access to one or more collections of materials in digital form.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a168288190a2fbb735d1fd30a8 completed April 20, 2026, 4:47 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:51 p.m.