Triple

T1292388
Position Surface form Disambiguated ID Type / Status
Subject Bourbonnais E27574 entity
Predicate integratedIntoRoyalDomain P18474 FINISHED
Object 16th century 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: 16th century | Statement: [Bourbonnais, integratedIntoRoyalDomain, 16th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: integratedIntoRoyalDomain
Context triple: [Bourbonnais, integratedIntoRoyalDomain, 16th century]
  • A. hasRoyalConnection
    Indicates a relationship where an entity is linked or associated in some notable way to royalty, a royal family, or a royal institution.
  • B. associatedWithMonarchy chosen
    Indicates a relationship in which something has a connection, link, or relevance to a monarchy or monarchical system.
  • C. hasRoyalHouse
    Indicates that an entity is associated with or belongs to a particular royal house or dynasty.
  • D. hasRoyalHousehold
    Indicates that an entity possesses or is associated with a specific royal household as its official domestic or courtly establishment.
  • E. kingdomAssociatedWith
    Indicates a relationship where something is connected or related to a particular kingdom, such as belonging to, originating from, or being governed by that kingdom.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.