Triple
T21879909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanstadwell |
E540248
|
entity |
| Predicate | hasWelshName |
P4705
|
FINISHED |
| Object | Llanstadwel |
—
|
NE NERFINISHED |
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: Llanstadwel | Statement: [Llanstadwell, hasWelshName, Llanstadwel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanstadwel Context triple: [Llanstadwell, hasWelshName, Llanstadwel]
-
A.
Llansteffan
Llansteffan is a coastal village in Carmarthenshire, Wales, known for its historic hilltop castle and scenic views across the River Towy estuary.
-
B.
Llanwnda
Llanwnda is a small village and community in Gwynedd, Wales, known for its rural setting and historical connections to notable Welsh figures such as William Madocks.
-
C.
Llanllwni
Llanllwni is a rural village and community in Carmarthenshire, Wales, known for its agricultural landscape and proximity to the Llanllwni Mountain.
-
D.
Llanwern
Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
-
E.
Llanstadwell
chosen
Llanstadwell is a small coastal village in Pembrokeshire, Wales, situated on the northern shore of the Milford Haven Waterway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e600c08190bc96203f03f1e58a |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:04 p.m.