Triple

T16309972
Position Surface form Disambiguated ID Type / Status
Subject Order of the House of Orange E396026 entity
Predicate grantingCriteria P122634 FINISHED
Object personal service to the Dutch monarch 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: personal service to the Dutch monarch | Statement: [Order of the House of Orange, grantingCriteria, personal service to the Dutch monarch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantingCriteria
Context triple: [Order of the House of Orange, grantingCriteria, personal service to the Dutch monarch]
  • A. grantedIn
    Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
  • B. believedToGrant
    Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
  • C. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • D. grantedWith
    Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
  • E. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d9557c81909203cd47aebf0f44 completed April 17, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
PDg Predicate description generation batch_69e21e56e0348190a3d9475360231a70 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:06 a.m.