Triple
T1030014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmarthenshire |
E22227
|
entity |
| Predicate | nameInWelsh |
P13076
|
FINISHED |
| Object |
Sir Gaerfyrddin
Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
|
E121398
|
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 Gaerfyrddin | Statement: [Carmarthenshire, nameInWelsh, Sir Gaerfyrddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Gaerfyrddin Context triple: [Carmarthenshire, nameInWelsh, Sir Gaerfyrddin]
-
A.
Sir Feirionnydd
Sir Feirionnydd is the Welsh-language name for the historic county of Merionethshire in northwest Wales.
-
B.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
C.
Uther Pendragon
Uther Pendragon is a legendary British king from Arthurian mythology, best known as the father of King Arthur and a central figure in the tales surrounding Camelot’s origins.
-
D.
Dafydd
Dafydd is the Welsh form of the given name David, commonly used in Wales.
-
E.
Gawain
Gawain is a legendary knight of King Arthur’s Round Table in Arthurian literature, renowned for his chivalry and central role in tales such as "Sir Gawain and the Green Knight."
- 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 Gaerfyrddin Triple: [Carmarthenshire, nameInWelsh, Sir Gaerfyrddin]
Generated description
Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir Gaerfyrddin Target entity description: Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
-
A.
Sir Feirionnydd
Sir Feirionnydd is the Welsh-language name for the historic county of Merionethshire in northwest Wales.
-
B.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
C.
Uther Pendragon
Uther Pendragon is a legendary British king from Arthurian mythology, best known as the father of King Arthur and a central figure in the tales surrounding Camelot’s origins.
-
D.
Dafydd
Dafydd is the Welsh form of the given name David, commonly used in Wales.
-
E.
Gawain
Gawain is a legendary knight of King Arthur’s Round Table in Arthurian literature, renowned for his chivalry and central role in tales such as "Sir Gawain and the Green Knight."
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f962608190b3ebd9140472b979 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bbf5a1c819086e1ff529d05f311 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3d80db008190b71b893f9d78ba4b |
completed | March 7, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3df3fea8819080b83c840ffd59a8 |
completed | March 7, 2026, 3:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.