Triple

T31619708
Position Surface form Disambiguated ID Type / Status
Subject Official Principal of the Archbishop of Canterbury E806859 entity
Predicate traditionallySitsAt P16984 FINISHED
Object Church of St Mary-le-Bow, London NE NERFINISHED

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: Church of St Mary-le-Bow, London | Statement: [Official Principal of the Archbishop of Canterbury, traditionallySitsAt, Church of St Mary-le-Bow, London]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionallySitsAt
Context triple: [Official Principal of the Archbishop of Canterbury, traditionallySitsAt, Church of St Mary-le-Bow, London]
  • A. oftenSits
    Indicates that an entity frequently assumes a sitting position, either habitually or on many occasions.
  • B. typicalSeat
    Indicates the usual or standard seating position or location associated with an entity in a given context.
  • C. canSitAt
    Indicates that one entity is permitted or able to occupy a seating position at another entity (such as a place, object, or location).
  • D. sitIn
    Indicates that one entity is seated inside or occupying a place within another entity (such as a seat, vehicle, or enclosed space).
  • E. seatTraditionallyAssociated chosen
    Indicates that one entity is a seat or position that is customarily or historically linked with another entity, such as a role, office, or title.
  • 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_69f348d7883c8190b6c13ab92b7ef076 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe68a4b67881909ca1d9f276f922e0 completed May 8, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69fe680234c88190b01f953987b74972 completed May 8, 2026, 10:47 p.m.
Created at: April 30, 2026, 10:40 p.m.