Triple
T5427558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Gaerfyrddin |
E121398
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Kidwelly |
E198381
|
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: Kidwelly | Statement: [Sir Gaerfyrddin, containsTown, Kidwelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidwelly Context triple: [Sir Gaerfyrddin, containsTown, Kidwelly]
-
A.
Kidwelly
chosen
Kidwelly is a historic town in southwest Wales, best known for its well-preserved medieval castle overlooking the River Gwendraeth.
-
B.
Bargoed
Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
-
C.
Builth Wells
Builth Wells is a small market town in Powys, mid Wales, known for its rural setting and proximity to the Royal Welsh Showground.
-
D.
Caerwys
Caerwys is a small historic market town and community in Flintshire, northeast Wales, known for its traditional Welsh character and rural surroundings.
-
E.
Lintrathen
Lintrathen is a small rural village in eastern Scotland, known for its scenic surroundings near Lintrathen Loch in the Angus region.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd881998308190a071af0fe44997bc |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62cddd8188190928e01ba450637c2 |
completed | March 27, 2026, 7:08 a.m. |
Created at: March 20, 2026, 2:06 p.m.