Triple

T1949538
Position Surface form Disambiguated ID Type / Status
Subject American culture E42127 entity
Predicate containsReligiousTradition P24121 FINISHED
Object Protestantism 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: Protestantism | Statement: [American culture, containsReligiousTradition, Protestantism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsReligiousTradition
Context triple: [American culture, containsReligiousTradition, Protestantism]
  • A. partOfReligiousTradition
    Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
  • B. hasRiteOrTradition
    Indicates that an entity is associated with, practices, or observes a particular rite, ritual, or tradition.
  • C. theologicalTradition
    Indicates the religious or doctrinal school, lineage, or system of belief within which an entity’s theology is developed or practiced.
  • D. hasReligiousOrigin
    Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
  • E. religiousTraditions chosen
    Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3315df481908f60cd87453fbc03 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abaff3eda88190b643994cb4dfb8df completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.