Triple
T10169154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breconshire |
E235283
|
entity |
| Predicate | historicNameInWelsh |
P28982
|
FINISHED |
| Object |
Sir Frycheiniog
Sir Frycheiniog is the traditional Welsh name for the historic county of Breconshire in Wales.
|
E845908
|
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 Frycheiniog | Statement: [Breconshire, historicNameInWelsh, Sir Frycheiniog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Frycheiniog Context triple: [Breconshire, historicNameInWelsh, Sir Frycheiniog]
-
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.
Sir Leoline Jenkins
Sir Leoline Jenkins was a 17th-century Welsh jurist, diplomat, and statesman who served as Secretary of State to King Charles II and played a key role in shaping English maritime and international law.
-
D.
Sir Goronwy Daniel
Sir Goronwy Daniel was a Welsh civil servant and academic who served as Permanent Secretary at the Welsh Office and later as Principal of the University College of Wales, Aberystwyth.
-
E.
Sir Roderick Evans
Sir Roderick Evans is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
- 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 Frycheiniog Triple: [Breconshire, historicNameInWelsh, Sir Frycheiniog]
Generated description
Sir Frycheiniog is the traditional Welsh name for the historic county of Breconshire in Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir Frycheiniog Target entity description: Sir Frycheiniog is the traditional Welsh name for the historic county of Breconshire in 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.
Sir Leoline Jenkins
Sir Leoline Jenkins was a 17th-century Welsh jurist, diplomat, and statesman who served as Secretary of State to King Charles II and played a key role in shaping English maritime and international law.
-
D.
Sir Goronwy Daniel
Sir Goronwy Daniel was a Welsh civil servant and academic who served as Permanent Secretary at the Welsh Office and later as Principal of the University College of Wales, Aberystwyth.
-
E.
Sir Roderick Evans
Sir Roderick Evans is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9ba56481908b5265aea8ea8cbe |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300ebacb88190850cf2242309b6ba |
completed | April 6, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d30255c7408190a56764f3d3f36ee2 |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30343f4b081909eb80c772f6847bd |
completed | April 6, 2026, 12:50 a.m. |
Created at: March 30, 2026, 9:10 p.m.