Triple

T17620391
Position Surface form Disambiguated ID Type / Status
Subject Parker on the Web E429693 entity
Predicate hasDigitalSurrogatesOf P8017 FINISHED
Object unique 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: unique manuscripts | Statement: [Parker on the Web, hasDigitalSurrogatesOf, unique manuscripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDigitalSurrogatesOf
Context triple: [Parker on the Web, hasDigitalSurrogatesOf, unique manuscripts]
  • A. hasDigitalEncoding
    Indicates that one entity is represented, stored, or expressed using a specific digital code or encoding scheme provided by another entity.
  • B. hasDigitalForm chosen
    Indicates that something exists or is available in a digital or electronic format.
  • C. hasDigitalAccess
    Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
  • D. hasDigitalFacade
    Indicates that an entity possesses a digital interface or representation that serves as its outward-facing surface or presentation.
  • E. hasLigatures
    Indicates that one writing system, font, or text includes combined character forms (ligatures) that join two or more individual glyphs into a single symbol.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d36074481909ee79e238841edf2 completed April 19, 2026, 5:50 a.m.
PD Predicate disambiguation batch_69e3cdd7da34819099bc9481c5a79bab completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:51 a.m.