Triple

T10242255
Position Surface form Disambiguated ID Type / Status
Subject Prince of Jordan E243621 entity
Predicate associatedWithTitleHolderRole P93157 FINISHED
Object ceremonial duties 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: ceremonial duties | Statement: [Prince of Jordan, associatedWithTitleHolderRole, ceremonial duties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithTitleHolderRole
Context triple: [Prince of Jordan, associatedWithTitleHolderRole, ceremonial duties]
  • A. associatedTitle
    Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
  • B. relatedTitleHolder
    Indicates that one entity holds a title or position that is related or connected to the title or position held by another entity.
  • C. relatedTitleOfBearer
    Indicates that one title is related to another title held by the same bearer, expressing an associative or contextual connection between those titles.
  • D. titleHolderRelationship
    Indicates a relationship where one entity holds, possesses, or bears a specific title in connection to another entity or context.
  • E. associatedWithAuthorRole
    Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d328272c8190a3548d7f7f38cfc4 completed April 7, 2026, 9:49 a.m.
PD Predicate disambiguation batch_69d4d1ebd6c88190a1f3f4a72a99d6fe completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d32741888190928b045e2241cfac completed April 7, 2026, 9:49 a.m.
Created at: April 6, 2026, 11:25 a.m.