Triple

T9669912
Position Surface form Disambiguated ID Type / Status
Subject Kassia E233998 entity
Predicate religiousOrderRole P37071 FINISHED
Object abbess of a convent in Constantinople — 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: abbess of a convent in Constantinople | Statement: [Kassia, religiousOrderRole, abbess of a convent in Constantinople]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousOrderRole
Context triple: [Kassia, religiousOrderRole, abbess of a convent in Constantinople]
  • A. religiousOrderAssociation
    Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
  • B. ecclesiasticalRole
    Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation to another entity.
  • C. ecclesialRole
    Indicates that one entity holds or is assigned a specific role, office, or function within a church or ecclesiastical structure in relation to another entity.
  • D. liturgicalRole
    Indicates the specific function or position an entity holds within a religious or liturgical context.
  • E. roleInMonasticism chosen
    Indicates the specific function, position, or status an entity holds within a monastic community or tradition.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3ec17081908c2da74a1d1f49da completed April 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:15 p.m.