Triple
T9985804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conwy |
E196563
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Deganwy |
E461115
|
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: Deganwy | Statement: [Conwy, near, Deganwy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deganwy Context triple: [Conwy, near, Deganwy]
-
A.
Deganwy
chosen
Deganwy is a coastal village in Conwy County Borough, Wales, situated on the Conwy estuary opposite Conwy and near the resort town of Llandudno.
-
B.
Caerfyrddin
Caerfyrddin is the Welsh name for the town of Carmarthen, a historic market town in southwest Wales.
-
C.
Bodelwyddan
Bodelwyddan is a village in Denbighshire, North Wales, known for its strategic location near the A55 and landmarks such as Bodelwyddan Castle.
-
D.
Dolwyddelan
Dolwyddelan is a small village in Conwy County Borough, Wales, situated in the Lledr Valley within Snowdonia and known for its scenic landscape and historic connections.
-
E.
Rhosneigr
Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79af13c81909349ae0b0d5da946 |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6b5338481909e05d82ceb8fadf5 |
completed | April 9, 2026, 12:45 a.m. |
Created at: March 30, 2026, 8:49 p.m.