Triple
T15159281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanegryn |
E362162
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dysynni Valley |
E295482
|
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: Dysynni Valley | Statement: [Llanegryn, locatedIn, Dysynni Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dysynni Valley Context triple: [Llanegryn, locatedIn, Dysynni Valley]
-
A.
Dysynni Valley
chosen
Dysynni Valley is a scenic rural valley in Gwynedd, Wales, known for its tranquil landscapes, surrounding hills, and traditional Welsh farmland.
-
B.
Zelve Valley
Zelve Valley is a historic region in Cappadocia, Turkey, known for its striking fairy chimneys, rock-cut dwellings, and ancient cave churches.
-
C.
Ceiriog Valley
Ceiriog Valley is a scenic river valley in northeast Wales known for its picturesque landscapes, historic bridges, and traditional rural communities.
-
D.
Braldu Valley
Braldu Valley is a remote valley in Pakistan’s Karakoram range, known as a gateway to major glaciers and high-altitude trekking routes.
-
E.
Darro valley
The Darro valley is a scenic river valley in Granada, Spain, running below the Alhambra and Generalife and known for its historic bridges, Moorish architecture, and picturesque views.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a61136081908198806944c81808 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:08 a.m.