Triple

T12848621
Position Surface form Disambiguated ID Type / Status
Subject Wilhelmus E307249 entity
Predicate containsBiblicalReferences P3890 FINISHED
Object true 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: true | Statement: [Wilhelmus, containsBiblicalReferences, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsBiblicalReferences
Context triple: [Wilhelmus, containsBiblicalReferences, true]
  • A. hasBiblicalConnection chosen
    Indicates a relationship in which one entity is connected to another through references, themes, origins, or influences derived from the Bible.
  • B. hasScripture
    Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
  • C. hasViewOnScripture
    Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
  • D. scripturalReference
    Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another entity.
  • E. scripturalBasis
    Indicates that one entity serves as the religious or scriptural foundation, support, or justification for another entity (such as a belief, practice, or doctrine).
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69d96fa3002881908000357b1f95a3ac completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:36 p.m.