Triple
T2102665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambrian Line |
E37124
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Harlech |
E47902
|
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: Harlech | Statement: [Cambrian Line, passesThrough, Harlech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlech Context triple: [Cambrian Line, passesThrough, Harlech]
-
A.
Harlech
chosen
Harlech is a historic coastal town in northwest Wales, best known for its dramatic medieval castle overlooking Cardigan Bay.
-
B.
Beaumaris
Beaumaris is a historic seaside town in Wales best known for its impressive medieval castle and picturesque setting on the Isle of Anglesey.
-
C.
Bargoed
Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
-
D.
Kidwelly
Kidwelly is a historic town in southwest Wales, best known for its well-preserved medieval castle overlooking the River Gwendraeth.
-
E.
Barmouth
Barmouth is a seaside town and popular holiday resort on the west coast of Wales, known for its sandy beach and scenic location at the mouth of the Mawddach Estuary.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabe1e9081908ea66c5406e2f1d9 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58ca5bc88190abc61e3a6140f668 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:43 p.m.