Triple

T12093852
Position Surface form Disambiguated ID Type / Status
Subject Duke of Cambridge E288015 entity
Predicate holderBecame P103466 FINISHED
Object Prince of Wales in 2022 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: Prince of Wales in 2022 | Statement: [Duke of Cambridge, holderBecame, Prince of Wales in 2022]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: holderBecame
Context triple: [Duke of Cambridge, holderBecame, Prince of Wales in 2022]
  • A. holderMayBe
    Indicates that a particular entity is allowed or permitted to serve as the holder or possessor of another entity.
  • B. holderIs
    Indicates that one entity serves as the holder, possessor, or container of another entity.
  • C. tenantBecame
    Indicates that an entity transitioned into the role or status of a tenant at a particular time or under specific conditions.
  • D. holder
    Indicates that one entity possesses, controls, or has custody of another entity, typically in a temporary or contextual sense.
  • E. memberBecame
    Indicates that an entity transitioned into becoming a member of a group, organization, or collection at a specific point in time.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9178ad99c8190a54777b9bbe998bc completed April 10, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69d915000454819089fee00022055599 completed April 10, 2026, 3:19 p.m.
PDg Predicate description generation batch_69d9178814e081908f67e3846718530e completed April 10, 2026, 3:30 p.m.
Created at: April 8, 2026, 9:48 p.m.