Triple

T26249213
Position Surface form Disambiguated ID Type / Status
Subject Irmina E656533 entity
Predicate hasHistoricalBearers P65964 FINISHED
Object saints 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: saints | Statement: [Irmina, hasHistoricalBearers, saints]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalBearers
Context triple: [Irmina, hasHistoricalBearers, saints]
  • A. hasHistoricalBearer chosen
    Indicates that an entity has, at some point in history, been borne or carried by another entity (such as a person, group, or institution).
  • B. hasMultipleBearers
    Indicates that a single item, attribute, or role is associated with more than one bearer or holder simultaneously.
  • C. typicalBearers
    Indicates that certain entities are the usual or characteristic holders, users, or possessors of a given property, role, or attribute.
  • D. hasAlternativeBearers
    Indicates that an entity can be carried, represented, or borne by more than one possible bearer or carrier as alternatives.
  • E. hasPrimaryBearer
    Indicates that one entity serves as the main or principal holder, carrier, or possessor of another entity.
  • 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_69ee5b4d25ac819086acb51184602576 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
Created at: April 26, 2026, 9:06 p.m.