Triple

T19768371
Position Surface form Disambiguated ID Type / Status
Subject Heungneung E474816 entity
Predicate associatedWithReligionOrPhilosophy P102165 FINISHED
Object Confucianism 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: Confucianism | Statement: [Heungneung, associatedWithReligionOrPhilosophy, Confucianism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithReligionOrPhilosophy
Context triple: [Heungneung, associatedWithReligionOrPhilosophy, Confucianism]
  • A. associatedReligionOrBelief chosen
    Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
  • B. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • C. associatedReligionText
    Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
  • D. religiousSpectrum
    Indicates a relationship that places entities along a range or continuum of religious belief, practice, or affiliation.
  • E. influencedByReligion
    Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65359bb9881908f48282b63a83f2f completed April 20, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69e5305016e08190b9561a96baecb0b8 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:48 p.m.