Triple
T10570983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clwyd South |
E249478
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Llangollen |
E412030
|
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: Llangollen | Statement: [Clwyd South, contains, Llangollen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llangollen Context triple: [Clwyd South, contains, Llangollen]
-
A.
Llangollen
chosen
Llangollen is a picturesque town in northeast Wales known for its scenic River Dee setting, historic bridge and abbey, and the annual Llangollen International Musical Eisteddfod.
-
B.
Llangennith
Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
-
C.
Llanwern
Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
-
D.
Llanbedr
Llanbedr is a small village in north-west Wales known for its scenic setting near the Snowdonia mountains and the coast, as well as its nearby former RAF airfield.
-
E.
Llanfyllin
Llanfyllin is a small historic market town in Powys, Wales, known for its rural setting near the Berwyn Mountains and its traditional Welsh 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274678148190b7a1afc099628357 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d448fac81909137b0a0ed9b976e |
completed | April 19, 2026, 1:17 a.m. |
Created at: April 6, 2026, 12:37 p.m.