Triple

T412979
Position Surface form Disambiguated ID Type / Status
Subject Bath Abbey E9530 entity
Predicate refoundedAsBenedictineMonastery P11203 FINISHED
Object 10th century 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: 10th century | Statement: [Bath Abbey, refoundedAsBenedictineMonastery, 10th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refoundedAsBenedictineMonastery
Context triple: [Bath Abbey, refoundedAsBenedictineMonastery, 10th century]
  • A. refoundedBy
    Indicates that an entity was re-established or reconstituted by another entity after a period of inactivity, dissolution, or significant change.
  • B. numberOfActiveMonasteries
    Indicates the count of monasteries that are currently active or operational in a given context.
  • C. foundedAs
    Indicates the original name or form under which an organization, institution, or entity was first established.
  • D. consecratedBy
    Indicates that one entity has been formally made sacred, dedicated, or set apart for religious use through a ritual or act performed by another entity.
  • E. religiousAffiliationAtFoundation
    Indicates the religious denomination or tradition with which an entity was affiliated at the time it was founded.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdc422881908910428fd1aee7c6 completed Feb. 28, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69a2e9749234819084b0ce94faabd0b1 completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2ea60e590819081779a6510918d9b completed Feb. 28, 2026, 1:15 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.