Triple

T1917981
Position Surface form Disambiguated ID Type / Status
Subject Custodian of the Two Holy Mosques E40060 entity
Predicate hasMottoLikeFunction P33142 FINISHED
Object emphasizing service to the holy places rather than kingship 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: emphasizing service to the holy places rather than kingship | Statement: [Custodian of the Two Holy Mosques, hasMottoLikeFunction, emphasizing service to the holy places rather than kingship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMottoLikeFunction
Context triple: [Custodian of the Two Holy Mosques, hasMottoLikeFunction, emphasizing service to the holy places rather than kingship]
  • A. hasMottoInText
    Indicates that an entity has a motto expressed in a specific textual form or wording.
  • B. usesMotto
    Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
  • C. hasMottoRibbon
    Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
  • D. mottoDeclared
    Indicates that an entity has officially stated or adopted a particular motto as its guiding phrase or slogan.
  • E. hasPartInMotto
    Indicates that something is included as a component or element within a motto.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2107fe48190bafff825f1f805ad completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb1b180e481908bbe893d6ba6208b completed March 7, 2026, 5:03 a.m.
Created at: March 4, 2026, 7:35 p.m.