Triple
T5020189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llwynywermod |
E112830
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Llandovery |
E197336
|
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: Llandovery | Statement: [Llwynywermod, nearbyTown, Llandovery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llandovery Context triple: [Llwynywermod, nearbyTown, Llandovery]
-
A.
Llandovery
chosen
Llandovery is a historic market town in Carmarthenshire, Wales, known for its medieval castle ruins and role as a gateway to the Brecon Beacons.
-
B.
Deganwy
Deganwy is a coastal village in Conwy County Borough, Wales, situated on the Conwy estuary opposite Conwy and near the resort town of Llandudno.
-
C.
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.
-
D.
Hafod
Hafod is an inner-city district of Swansea in South Wales, historically known for its industrial heritage and proximity to the River Tawe.
-
E.
Rhoslefain
Rhoslefain is a small rural settlement in Gwynedd, Wales, situated near the coastal town of Tywyn.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c60de2c81908208f93a4bd0ce55 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:36 p.m.