Triple

T28649800
Position Surface form Disambiguated ID Type / Status
Subject Golden type E725157 entity
Predicate laterDigitizations P195077 FINISHED
Object digital revivals by various foundries 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: digital revivals by various foundries | Statement: [Golden type, laterDigitizations, digital revivals by various foundries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterDigitizations
Context triple: [Golden type, laterDigitizations, digital revivals by various foundries]
  • A. digitizedBy
    Indicates that a physical or analog item has been converted into digital form by a particular agent or organization.
  • B. hasDigitalArchive
    Indicates that an entity maintains or is associated with a collection of materials stored in a digital archive.
  • C. digitizationStatus
    Indicates the current state or phase of converting an analog or physical resource into a digital form.
  • D. laterDepiction
    Indicates that one depiction represents a subsequent or later version, portrayal, or representation of the same subject as another depiction.
  • E. digitizationProjectFocus
    Indicates that a digitization project is specifically directed toward or centered on a particular subject, collection, or type of material.
  • F. None of above. chosen

Provenance (4 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_69f01d8423888190bd2f4e52605bf261 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fda5003cdc8190a558501271389912 completed May 8, 2026, 8:55 a.m.
PD Predicate disambiguation batch_69fda05bfc2c819096821a5300e9bb24 completed May 8, 2026, 8:35 a.m.
PDg Predicate description generation batch_69fda4fe67a08190bdaa84ceabd6de6c completed May 8, 2026, 8:55 a.m.
Created at: April 28, 2026, 4:51 a.m.