Triple
T5643246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackwood |
E124319
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Bargoed |
E188200
|
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: Bargoed | Statement: [Blackwood, hasNearbyTown, Bargoed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bargoed Context triple: [Blackwood, hasNearbyTown, Bargoed]
-
A.
Bargoed
chosen
Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
-
B.
Kidwelly
Kidwelly is a historic town in southwest Wales, best known for its well-preserved medieval castle overlooking the River Gwendraeth.
-
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.
Argoed
Argoed is a small village and community located in the Sirhowy Valley in south Wales.
-
E.
Tal-y-Cafn
Tal-y-Cafn is a small village in Conwy County Borough, Wales, situated in the Conwy Valley and known for its rural setting and former railway station on the Conwy Valley Line.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a7cd9c819087f86f60e8b65fc3 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f778438c8190bdc44ef9213f7ac3 |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 22, 2026, 3:41 p.m.