Triple
T6289184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmarthen |
E140972
|
entity |
| Predicate | hasWelshName |
P4705
|
FINISHED |
| Object | Caerfyrddin |
E585407
|
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: Caerfyrddin | Statement: [Carmarthen, hasWelshName, Caerfyrddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caerfyrddin Context triple: [Carmarthen, hasWelshName, Caerfyrddin]
-
A.
Caerfyrddin
chosen
Caerfyrddin is the Welsh name for the town of Carmarthen, a historic market town in southwest Wales.
-
B.
Rhoslefain
Rhoslefain is a small rural settlement in Gwynedd, Wales, situated near the coastal town of Tywyn.
-
C.
Deganwy
Deganwy is a coastal village in Conwy County Borough, Wales, situated on the Conwy estuary opposite Conwy and near the resort town of Llandudno.
-
D.
Cwmafan
Cwmafan is a large village and community in Neath Port Talbot, South Wales, situated in the Afan Valley near Port Talbot.
-
E.
Caerwys
Caerwys is a small historic market town and community in Flintshire, northeast Wales, known for its traditional Welsh character and rural surroundings.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641a6ecc8190a63be0e3f0344a3f |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70add5a788190a2b16839659f662b |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 22, 2026, 4:26 p.m.