Triple

T5371103
Position Surface form Disambiguated ID Type / Status
Subject Winchcombe E108850 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Hailes Abbey E182802 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: Hailes Abbey | Statement: [Winchcombe, hasNearbyAttraction, Hailes Abbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hailes Abbey
Context triple: [Winchcombe, hasNearbyAttraction, Hailes Abbey]
  • A. Hailes Abbey chosen
    Hailes Abbey is a former Cistercian monastery in Gloucestershire, England, renowned in the Middle Ages as a major pilgrimage site and now preserved as a historic ruin.
  • B. Delapré Abbey
    Delapré Abbey is a historic former monastery and later country house near Northampton, England, noted for its medieval origins and extensive parkland.
  • C. Marham Abbey
    Marham Abbey is a former medieval religious house in Marham, Norfolk, England, historically home to a community of nuns.
  • D. Eynsham Abbey
    Eynsham Abbey was a prominent Benedictine monastery in Oxfordshire, England, known as a significant center of medieval religious life and learning.
  • E. Cymer Abbey
    Cymer Abbey is a ruined 12th-century Cistercian monastery in Gwynedd, Wales, noted for its picturesque setting near Dolgellau.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd8688b7488190a57baedd52a11b1a completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29307cc481908fa4d8b52711bbd4 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.