Triple
T334402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A44 road |
E6692
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Aberystwyth |
E37121
|
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: Aberystwyth | Statement: [A44 road, connects, Aberystwyth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aberystwyth Context triple: [A44 road, connects, Aberystwyth]
-
A.
Aberystwyth
chosen
Aberystwyth is a historic seaside and university town on the west coast of Wales, known for its promenade, castle ruins, and role as a cultural and administrative center for the region.
-
B.
Cwmbran
Cwmbran is a large new town in South Wales known for its extensive shopping centre and post-war planned development.
-
C.
Bridgend
Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
-
D.
Llanelli
Llanelli is a coastal industrial town in Carmarthenshire, South Wales, historically known for its tinplate industry and strong rugby union tradition.
-
E.
Cardiff
Cardiff is the capital and largest city of Wales, known as a major cultural, commercial, and sporting center with a rich industrial and maritime history.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac641708190b85fa21368e5de8e |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e85ff5248190848e7c390d550c59 |
completed | March 1, 2026, 7:18 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.