Triple

T30913689
Position Surface form Disambiguated ID Type / Status
Subject Princess of Saudi Arabia E787522 entity
Predicate associatedWithProtocol P64035 FINISHED
Object royal protocol and etiquette 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: royal protocol and etiquette | Statement: [Princess of Saudi Arabia, associatedWithProtocol, royal protocol and etiquette]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithProtocol
Context triple: [Princess of Saudi Arabia, associatedWithProtocol, royal protocol and etiquette]
  • A. associatedProtocol chosen
    Indicates that one entity is linked to, governed by, or operates according to a particular protocol.
  • B. associatedWithScheme
    Indicates that one entity is linked or connected to a particular scheme, framework, or structured plan.
  • C. hasProtocol
    Indicates that an entity uses, follows, or is governed by a specified protocol or set of procedural rules.
  • D. relatedToProtocolVersion
    Indicates a relationship where something is associated with, governed by, or dependent on a specific protocol version.
  • E. associatedWithMode
    Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
  • 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_69f224be300c8190a6513ce1ee0a7026 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e2fac0819089b522db3260028c completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 8:51 p.m.