Triple
T4164134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NP44 |
E84400
|
entity |
| Predicate | covers |
P1393
|
FINISHED |
| Object | Pontnewydd |
E144742
|
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: Pontnewydd | Statement: [NP44, covers, Pontnewydd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontnewydd Context triple: [NP44, covers, Pontnewydd]
-
A.
Pontnewydd
chosen
Pontnewydd is a residential suburb and historic village area within the town of Cwmbran in South Wales.
-
B.
Bodelwyddan
Bodelwyddan is a village in Denbighshire, North Wales, known for its strategic location near the A55 and landmarks such as Bodelwyddan Castle.
-
C.
Pontrhydyfen
Pontrhydyfen is a small Welsh village in Neath Port Talbot, best known as the birthplace of acclaimed actor Richard Burton.
-
D.
Blaengwynfi
Blaengwynfi is a small former coal-mining village in South Wales, situated in the Afan Valley and now known for its surrounding forestry and outdoor recreation.
-
E.
Abergynolwyn
Abergynolwyn is a village in Gwynedd, Wales, known for its historic association with slate quarrying and its station on the narrow-gauge Talyllyn Railway.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a9bf348190b99cecd19fe65779 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89b9fcbc8190868b8d0584e94118 |
completed | March 21, 2026, 12:06 p.m. |
Created at: March 9, 2026, 3:44 p.m.