Triple

T32237663
Position Surface form Disambiguated ID Type / Status
Subject court of Henrietta Maria in France E823513 entity
Predicate religiousNetwork P159857 FINISHED
Object French Catholic networks 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: French Catholic networks | Statement: [court of Henrietta Maria in France, religiousNetwork, French Catholic networks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousNetwork
Context triple: [court of Henrietta Maria in France, religiousNetwork, French Catholic networks]
  • A. religiousFoundation
    Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
  • B. religiousAlliance
    Indicates a cooperative relationship formed between entities based on shared religious beliefs, institutions, or objectives.
  • C. modernReligionOrganization
    Indicates that an organization functions as a religious institution or group in the modern or contemporary period.
  • D. religiousEnvironment
    Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
  • E. denominationalNetwork chosen
    Indicates a relationship where entities are connected through affiliation with the same religious denomination or its organizational network.
  • 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_69f3490c140481908ed53b98b561eaa1 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fedec693b08190b0f8bfdb921e0766 completed May 9, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69fede16c1d48190a20d8a9c5722c307 completed May 9, 2026, 7:11 a.m.
Created at: May 1, 2026, 12:39 a.m.