Triple
T4256857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welshpool |
E95994
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | WELSHPOOL |
E95994
|
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: WELSHPOOL | Statement: [Welshpool, hasPostTown, WELSHPOOL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WELSHPOOL Context triple: [Welshpool, hasPostTown, WELSHPOOL]
-
A.
Welshpool
Welshpool is a small coastal community on Campobello Island in New Brunswick, Canada, known for its fishing heritage and scenic Bay of Fundy surroundings.
-
B.
Welshpool
chosen
Welshpool is a historic market town in Powys, Wales, near the English border, known for its agricultural heritage and proximity to Powis Castle.
-
C.
Hirwaun
Hirwaun is a village in South Wales situated at the edge of the Brecon Beacons, historically known for its coal mining and ironworks.
-
D.
Narberth
Narberth is a small market town in southwest Wales known for its independent shops, arts scene, and historic castle remains.
-
E.
Tywyn
Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec321008190b2cc1aca6ab690c4 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88a68f081909e5bae5b0414f534 |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.