Triple

T16997257
Position Surface form Disambiguated ID Type / Status
Subject Abbey Church of Saint Werburgh E412349 entity
Predicate partOf P40 FINISHED
Object Abbey of Saint Werburgh E412349 NE 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: Abbey of Saint Werburgh | Statement: [Abbey Church of Saint Werburgh, partOf, Abbey of Saint Werburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbey of Saint Werburgh
Context triple: [Abbey Church of Saint Werburgh, partOf, Abbey of Saint Werburgh]
  • A. Abbey Church of Saint Werburgh chosen
    The Abbey Church of Saint Werburgh was a medieval Benedictine abbey church in Chester, England, that later became Chester Cathedral.
  • B. Geras Abbey
    Geras Abbey is a historic Premonstratensian monastery in Lower Austria known for its baroque architecture and cultural significance.
  • C. Corvey Abbey
    Corvey Abbey is a former Benedictine monastery in North Rhine-Westphalia, Germany, renowned for its Carolingian architecture and UNESCO World Heritage status.
  • D. Carfax Abbey
    Carfax Abbey is a gloomy, abandoned estate in Bram Stoker’s novel "Dracula," serving as one of Count Dracula’s English strongholds.
  • E. Bec Abbey
    Bec Abbey is a historic Benedictine monastery in Normandy, France, renowned as a major medieval center of learning and theology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2885f888190ab1406f55a91bf93 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc18e6988190b42b3d251cf00b98 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.