Triple

T11266618
Position Surface form Disambiguated ID Type / Status
Subject Newport Cathedral E266702 entity
Predicate dedicatedTo P500 FINISHED
Object Saint Woolos
Saint Woolos is a Christian saint traditionally associated with Newport, Wales, and regarded as the patron to whom Newport Cathedral is dedicated.
E915059 NE FINISHED

How this triple was built (4 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: Saint Woolos | Statement: [Newport Cathedral, dedicatedTo, Saint Woolos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Woolos
Context triple: [Newport Cathedral, dedicatedTo, Saint Woolos]
  • A. Rhodri Giggs
    Rhodri Giggs is a Welsh former footballer and football manager best known publicly as the brother of ex-Manchester United star Ryan Giggs.
  • B. Will Rees
    Will Rees is a British musician best known as a guitarist and member of the indie rock band Mystery Jets.
  • C. Hywel Bennett
    Hywel Bennett was a Welsh actor best known for his roles in British film and television from the 1960s onward, including the sitcom "Shelley" and numerous drama series.
  • D. William Tailer
    William Tailer was an early 18th-century colonial politician who briefly served as acting governor of the Province of Massachusetts Bay.
  • E. Llion Jones
    Llion Jones is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saint Woolos
Triple: [Newport Cathedral, dedicatedTo, Saint Woolos]
Generated description
Saint Woolos is a Christian saint traditionally associated with Newport, Wales, and regarded as the patron to whom Newport Cathedral is dedicated.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saint Woolos
Target entity description: Saint Woolos is a Christian saint traditionally associated with Newport, Wales, and regarded as the patron to whom Newport Cathedral is dedicated.
  • A. Rhodri Giggs
    Rhodri Giggs is a Welsh former footballer and football manager best known publicly as the brother of ex-Manchester United star Ryan Giggs.
  • B. Will Rees
    Will Rees is a British musician best known as a guitarist and member of the indie rock band Mystery Jets.
  • C. Hywel Bennett
    Hywel Bennett was a Welsh actor best known for his roles in British film and television from the 1960s onward, including the sitcom "Shelley" and numerous drama series.
  • D. William Tailer
    William Tailer was an early 18th-century colonial politician who briefly served as acting governor of the Province of Massachusetts Bay.
  • E. Llion Jones
    Llion Jones is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
  • F. None of above. chosen

Provenance (5 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccd52c20819093e03bba2fd359b7 completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ed6a048190ae7476d44cee6a6e completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddb1b4c8819087699bc73610c7f8 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.