Triple

T20743510
Position Surface form Disambiguated ID Type / Status
Subject Mr. Knightley E510503 entity
Predicate ownsEstate P8997 FINISHED
Object Donwell Abbey 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: Donwell Abbey | Statement: [Mr. Knightley, ownsEstate, Donwell Abbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donwell Abbey
Context triple: [Mr. Knightley, ownsEstate, Donwell Abbey]
  • A. Donwell Abbey chosen
    Donwell Abbey is the grand country estate of Mr. Knightley in Jane Austen's novel "Emma," symbolizing stability, tradition, and moral integrity within the story.
  • B. Darnhall Abbey
    Darnhall Abbey was a medieval Cistercian monastery in Cheshire, England, later relocated and refounded as Vale Royal Abbey.
  • C. Fore Abbey
    Fore Abbey is a historic ruined Benedictine monastery in Ireland renowned for its early Christian heritage and the legendary “Seven Wonders of Fore.”
  • D. Newbattle Abbey
    Newbattle Abbey is a former Cistercian monastery in Midlothian, Scotland, historically significant as a royal foundation and later converted into a stately home.
  • E. Denny Abbey
    Denny Abbey is a historic former monastic site in Cambridgeshire, England, notable for its successive use by Benedictine monks, Knights Templar, and Franciscan nuns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c210a2c08190bd767df3188bb401 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.