Triple

T7913421
Position Surface form Disambiguated ID Type / Status
Subject Princess Noor bint Hamzah E183755 entity
Predicate positionInRoyalFamily P79749 FINISHED
Object Jordanian royal 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: Jordanian royal | Statement: [Princess Noor bint Hamzah, positionInRoyalFamily, Jordanian royal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInRoyalFamily
Context triple: [Princess Noor bint Hamzah, positionInRoyalFamily, Jordanian royal]
  • A. positionOnMonarchy
    Indicates a stance, opinion, or policy position that an entity holds regarding the institution or system of monarchy.
  • B. parentOfRoyalDescendants
    Indicates being the parent of one or more individuals who are of royal descent.
  • C. hasRoyalFamilyMember
    Indicates that one entity is a member of the royal family associated with another entity.
  • D. relatedRoyalHouse
    Indicates a relationship where one royal house is historically, genealogically, or politically connected to another royal house.
  • E. hasRoyalAncestryFrom
    Indicates that one entity possesses royal lineage or descent originating from another entity.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a748f4c8190bcd868de2fcf0b3a completed March 31, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69cae92f9498819085277879e59aa072 completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf7882b048190baa333af9f698590 completed March 30, 2026, 10:22 p.m.
Created at: March 30, 2026, 5:04 p.m.