Triple

T13191909
Position Surface form Disambiguated ID Type / Status
Subject Radnorshire E314010 entity
Predicate hasWelshName P4705 FINISHED
Object Sir Faesyfed
Sir Faesyfed is the Welsh name for the historic county of Radnorshire in mid-Wales.
E1027322 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: Sir Faesyfed | Statement: [Radnorshire, hasWelshName, Sir Faesyfed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Faesyfed
Context triple: [Radnorshire, hasWelshName, Sir Faesyfed]
  • A. Sir Feirionnydd
    Sir Feirionnydd is the Welsh-language name for the historic county of Merionethshire in northwest Wales.
  • B. Sir Gaerfyrddin
    Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
  • C. Lord Sewel
    Lord Sewel is a British Labour politician and life peer best known for giving his name to the Sewel Convention, which governs how the UK Parliament legislates on devolved matters.
  • D. Sir Frycheiniog
    Sir Frycheiniog is the traditional Welsh name for the historic county of Breconshire in Wales.
  • E. Sir Leoline
    Sir Leoline is a noble but troubled baron in Samuel Taylor Coleridge’s narrative poem "Christabel," whose actions and emotions drive much of the story’s gothic tension.
  • 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: Sir Faesyfed
Triple: [Radnorshire, hasWelshName, Sir Faesyfed]
Generated description
Sir Faesyfed is the Welsh name for the historic county of Radnorshire in mid-Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sir Faesyfed
Target entity description: Sir Faesyfed is the Welsh name for the historic county of Radnorshire in mid-Wales.
  • A. Sir Feirionnydd
    Sir Feirionnydd is the Welsh-language name for the historic county of Merionethshire in northwest Wales.
  • B. Sir Gaerfyrddin
    Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
  • C. Lord Sewel
    Lord Sewel is a British Labour politician and life peer best known for giving his name to the Sewel Convention, which governs how the UK Parliament legislates on devolved matters.
  • D. Sir Frycheiniog
    Sir Frycheiniog is the traditional Welsh name for the historic county of Breconshire in Wales.
  • E. Sir Leoline
    Sir Leoline is a noble but troubled baron in Samuel Taylor Coleridge’s narrative poem "Christabel," whose actions and emotions drive much of the story’s gothic tension.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fef9e48190961d66ebcc1df11f completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f80b420c8190b5028be4fa99fb59 completed May 3, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:15 p.m.