Triple

T17681353
Position Surface form Disambiguated ID Type / Status
Subject Torquay E440776 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Torre Abbey E316381 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: Torre Abbey | Statement: [Torquay, hasReligiousBuilding, Torre Abbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torre Abbey
Context triple: [Torquay, hasReligiousBuilding, Torre Abbey]
  • A. Torre Abbey chosen
    Torre Abbey is a historic medieval monastery-turned-country house and art gallery in Torquay, Devon, known as one of the best-preserved monastic sites in southwest England.
  • B. 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.”
  • C. Werden Abbey
    Werden Abbey is a former Benedictine monastery in present-day Essen, Germany, historically significant as a religious and cultural center of the early Middle Ages.
  • D. Bec Abbey
    Bec Abbey is a historic Benedictine monastery in Normandy, France, renowned as a major medieval center of learning and theology.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470445b3881908bb0930b986089f7 completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02232a4d488190b43226ba2f34e7c0 completed May 11, 2026, 6:42 p.m.
Created at: April 10, 2026, 10:01 a.m.