Triple

T19774643
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Asia E474971 entity
Predicate groupedAdministrativeUnits P3892 FINISHED
Object Roman provinces 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: Roman provinces | Statement: [Diocese of Asia, groupedAdministrativeUnits, Roman provinces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: groupedAdministrativeUnits
Context triple: [Diocese of Asia, groupedAdministrativeUnits, Roman provinces]
  • A. hasAdministrativeUnit chosen
    Indicates that one entity possesses, contains, or is associated with another entity that functions as its administrative subdivision or governing unit.
  • B. separatesAdministrativeUnits
    Indicates that one entity serves as a boundary or divider that distinguishes or splits different administrative units from each other.
  • C. connectsAdministrativeUnits
    Indicates a relationship where one administrative unit is linked or associated with another for governance, coordination, or organizational purposes.
  • D. laterAdministrativeUnit
    Indicates that one administrative unit succeeds or replaces another in time, coming into effect at a later date.
  • E. administrativeUnitType
    Indicates the specific kind or category of administrative unit involved in the relationship (e.g., city, county, province).
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535effcc819080a71de148759674 completed April 20, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69e53053ed2881908400becdfada7fd3 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:48 p.m.