Triple

T8896181
Position Surface form Disambiguated ID Type / Status
Subject Majority text E211809 entity
Predicate textualPrinciple P66597 FINISHED
Object preference for readings supported by the numerical majority of 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: preference for readings supported by the numerical majority of manuscripts | Statement: [Majority text, textualPrinciple, preference for readings supported by the numerical majority of manuscripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textualPrinciple
Context triple: [Majority text, textualPrinciple, preference for readings supported by the numerical majority of manuscripts]
  • A. principle1 chosen
    Indicates that one entity serves as a primary rule, guideline, or foundational principle governing or guiding another entity.
  • B. principle3
    Indicates that an entity is governed by, based on, or exemplifies a third fundamental rule, standard, or guiding principle within a defined set of principles.
  • C. textualStructure
    Indicates how parts of a text are organized and related to each other within its overall structure.
  • D. principle4
    Indicates that an entity embodies, adheres to, or is governed by a specific fourth principle within a defined set of principles.
  • E. textuallySystematizedBy
    Indicates that information, concepts, or data are organized, structured, or codified into a systematic textual form by a particular agent or source.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61bfec0881908e4ef5b7f0e6b542 completed April 1, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cc5c2bfb38819083d5eb1af8ccf4d6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:54 p.m.