Triple
T8637772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weardale |
E204564
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tynedale |
E256522
|
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: Tynedale | Statement: [Weardale, locatedNear, Tynedale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tynedale Context triple: [Weardale, locatedNear, Tynedale]
-
A.
Tynedale
chosen
Tynedale is a historic valley and district in northern England centered on the River Tyne, known for its rural landscapes, market towns, and Roman heritage.
-
B.
Coquet Burn
Coquet Burn is a small tributary stream in Northumberland, England, that feeds into the River Coquet within the county’s rural landscape.
-
C.
Derwent Valley
Derwent Valley is a region in Derbyshire, England, known for its historic mill complexes and role in the early Industrial Revolution, now recognized as a UNESCO World Heritage Site.
-
D.
Derwent Valley
Derwent Valley is a scenic river valley in County Durham and Northumberland, England, known for its industrial heritage, woodlands, and walking and cycling trails.
-
E.
Teesdale
Teesdale is a scenic valley in northern England known for its rugged landscapes, the River Tees, and notable waterfalls such as High Force.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc476255508190b3e5855232b399a0 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc2c2b84819087a9f23b47c607e8 |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:28 p.m.