Triple
T4563442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenby |
E121850
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Saundersfoot |
E132235
|
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: Saundersfoot | Statement: [Tenby, near, Saundersfoot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saundersfoot Context triple: [Tenby, near, Saundersfoot]
-
A.
Saundersfoot
chosen
Saundersfoot is a coastal village and popular seaside resort in southwest Wales known for its sandy beach and picturesque harbour.
-
B.
Shoeburyness
Shoeburyness is a coastal town at the eastern end of Southend-on-Sea in Essex, England, known for its beaches and historic military ranges.
-
C.
Monifieth
Monifieth is a coastal town in eastern Scotland, situated on the north shore of the Firth of Tay near Dundee.
-
D.
Queenborough
Queenborough is a small historic port town in Kent, England, situated on the Isle of Sheppey and known for its maritime heritage and medieval origins.
-
E.
Fairbourne
Fairbourne is a coastal village in Gwynedd, Wales, known for its sandy beach, heritage railway, and location across the Mawddach Estuary from Barmouth.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd5830b4308190a63699bf28922375 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc5a2a97081909c9c064924fcaa22 |
completed | March 20, 2026, 10:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.