Triple
T939515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale of Glamorgan |
E20272
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Penarth |
E72442
|
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: Penarth | Statement: [Vale of Glamorgan, containsSettlement, Penarth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penarth Context triple: [Vale of Glamorgan, containsSettlement, Penarth]
-
A.
Penarth
chosen
Penarth is a seaside town in the Vale of Glamorgan, Wales, known for its Victorian pier, esplanade, and role as a filming location for various British television series.
-
B.
Sandown
Sandown is a seaside resort town on the southeast coast of England’s Isle of Wight, known for its sandy beach and traditional holiday attractions.
-
C.
Bembridge
Bembridge is a coastal village on the eastern tip of the Isle of Wight in England, known for its harbour, beaches, and sailing activities.
-
D.
Port Talbot
Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
-
E.
Milford Haven
Milford Haven is a coastal town and deep-water port in Pembrokeshire, Wales, known for its large natural harbour and role in the UK energy industry.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38b7da08190ac0853655dab678a |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e0dd188190bf5776a6e4525fdd |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.