Triple

T10668016
Position Surface form Disambiguated ID Type / Status
Subject Philoxenus of Mabbug E251407 entity
Predicate roleInTextualHistory P11527 FINISHED
Object sponsored revision of Syriac New Testament 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: sponsored revision of Syriac New Testament | Statement: [Philoxenus of Mabbug, roleInTextualHistory, sponsored revision of Syriac New Testament]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInTextualHistory
Context triple: [Philoxenus of Mabbug, roleInTextualHistory, sponsored revision of Syriac New Testament]
  • A. roleInHumanHistory
    Indicates the function, influence, or significance that an entity has had within the course of human history.
  • B. portraysHumanHistoryAs
    Indicates that one entity represents or depicts human history in a particular way or from a specific perspective.
  • C. historicalScript
    Indicates that an entity is or was written in, or otherwise associated with, a particular historical writing system or script.
  • D. historicallyRich
    Indicates that an entity possesses significant historical depth, importance, or a wealth of notable past events and heritage.
  • E. roleInText chosen
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f860790c81909c2c1d3c489ec5b4 completed April 9, 2026, 12:52 a.m.
PD Predicate disambiguation batch_69d6dd8a93208190a573061387e2aebb completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:08 p.m.