Triple

T967963
Position Surface form Disambiguated ID Type / Status
Subject Textus Receptus E20878 entity
Predicate containsReading P22276 FINISHED
Object long ending of Mark (Mark 16:9–20) 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: long ending of Mark (Mark 16:9–20) | Statement: [Textus Receptus, containsReading, long ending of Mark (Mark 16:9–20)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsReading
Context triple: [Textus Receptus, containsReading, long ending of Mark (Mark 16:9–20)]
  • A. hasReadingType
    Indicates that an entity is associated with a specific category or mode of reading, such as a particular interpretation, format, or type of reading measurement.
  • B. requiredReadingFor
    Indicates that one item (such as a text or resource) must be read as a mandatory prerequisite or component for engaging with, understanding, or completing another item (such as a course, assignment, or program).
  • C. hasReadingRoom
    Indicates that a place or facility includes a designated reading room area available for use.
  • D. readBy
    Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
  • E. hasLiturgicalReading
    Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43549008190a4d65efdc3bda520 completed March 1, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69a4b2a42c1481908d940cbe0aefdd3b completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b36064a48190b85c402f32cbadd1 completed March 1, 2026, 9:45 p.m.
Created at: March 1, 2026, 7:40 p.m.