Triple
T21049905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendine |
E518548
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Laugharne |
—
|
NE NERFINISHED |
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: Laugharne | Statement: [Pendine, near, Laugharne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laugharne Context triple: [Pendine, near, Laugharne]
-
A.
Laugharne
chosen
Laugharne is a small coastal town in Carmarthenshire, Wales, best known for its association with poet Dylan Thomas, who lived and is buried there.
-
B.
Laugharne Castle
Laugharne Castle is a picturesque medieval fortress and later Tudor mansion in the town of Laugharne, Wales, famed for its estuary views and literary associations with Dylan Thomas.
-
C.
Beaumaris
Beaumaris is a historic seaside town in Wales best known for its impressive medieval castle and picturesque setting on the Isle of Anglesey.
-
D.
Rhosneigr
Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
-
E.
Hafod
Hafod is an inner-city district of Swansea in South Wales, historically known for its industrial heritage and proximity to the River Tawe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7a5cf48190939aefaa44db1ddb |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:34 p.m.