Triple

T207893
Position Surface form Disambiguated ID Type / Status
Subject Perpetual Virginity of Mary E4647 entity
Predicate isSupportedBy P9867 FINISHED
Object typological readings of Old Testament texts 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: typological readings of Old Testament texts | Statement: [Perpetual Virginity of Mary, isSupportedBy, typological readings of Old Testament texts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSupportedBy
Context triple: [Perpetual Virginity of Mary, isSupportedBy, typological readings of Old Testament texts]
  • A. hasSupported
    Indicates that one entity has provided assistance, endorsement, or backing to another entity, either materially, emotionally, or through advocacy.
  • B. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • C. supportedPlatform
    Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
  • D. featuresSupporter
    Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
  • E. commonlyImplementedBy
    Indicates that the referenced item (e.g., a standard, interface, or pattern) is frequently realized or put into practice by the associated implementing entities.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e8b9b908190b69a3f0594b95f7e completed Feb. 28, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69a25b4e3c2881908d83e8218aa9f2d9 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25e8ade9481908d5570f6a255ee50 completed Feb. 28, 2026, 3:18 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.