Triple
T2908342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyfed |
E63619
|
entity |
| Predicate | ceremonialLordLieutenantArea |
P2713
|
FINISHED |
| Object | Dyfed |
E63619
|
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: Dyfed | Statement: [Dyfed, ceremonialLordLieutenantArea, Dyfed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyfed Context triple: [Dyfed, ceremonialLordLieutenantArea, Dyfed]
-
A.
Dyfed
chosen
Dyfed is a historic county and former administrative region in southwest Wales, encompassing the areas of Pembrokeshire, Carmarthenshire, and Ceredigion.
-
B.
Meirionnydd
Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
-
C.
Gwynedd
Gwynedd is a county and preserved lieutenancy area in north-west Wales known for its rugged coastline, mountains including much of Snowdonia, and strong Welsh language and cultural heritage.
-
D.
Dyffryn
Dyffryn is an electoral ward and community area within the county borough of Neath Port Talbot in South Wales.
-
E.
Conwy
Conwy is a county borough in north Wales known for its historic walled town, medieval castle, and scenic coastal and mountainous landscapes.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d1dcf881909b3ae58d7cdfd9cd |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de8b9378819084861d65dd2b9528 |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 6, 2026, 10:11 p.m.