Triple

T3247367
Position Surface form Disambiguated ID Type / Status
Subject Order of Charles III E68095 entity
Predicate originallyCatholicOrder P46814 FINISHED
Object true 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: true | Statement: [Order of Charles III, originallyCatholicOrder, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originallyCatholicOrder
Context triple: [Order of Charles III, originallyCatholicOrder, true]
  • A. inspiredReligiousOrder
    Indicates that one entity motivated, influenced, or served as a model for the founding or development of a particular religious order.
  • B. religiousOrderAssociation
    Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
  • C. religiousOrderSupported
    Indicates that one entity provides support—such as resources, endorsement, or maintenance—to a particular religious order.
  • D. monasticTradition
    Indicates that an entity follows, belongs to, or is characterized by a particular monastic rule, lineage, or way of religious life.
  • E. dominantMonasticOrders
    Indicates that certain monastic orders hold primary influence, prevalence, or control within a given religious or geographic context.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1c184c8190a43a3594decd0920 completed March 8, 2026, 5:17 p.m.
PD Predicate disambiguation batch_69ada41837e48190933572165be0ca38 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada525bb2c8190b773efe6d696b6ab completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:09 p.m.