Triple
T5517300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Tyne |
E144716
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Hexham |
E212522
|
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: Hexham | Statement: [River Tyne, flowsThrough, Hexham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hexham Context triple: [River Tyne, flowsThrough, Hexham]
-
A.
Hexham
chosen
Hexham is a historic market town in Northumberland, England, known for its medieval abbey and proximity to Hadrian’s Wall.
-
B.
Morpeth
Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
-
C.
Northallerton
Northallerton is a historic market town and the county town of North Yorkshire, England, known for its traditional high street and role as an administrative and commercial centre for the surrounding rural area.
-
D.
Knaresborough
Knaresborough is a historic market and spa town in northern England, known for its medieval castle ruins overlooking the River Nidd and its picturesque viaduct.
-
E.
Cramlington
Cramlington is a modern, largely residential town in North East England known for its post-war development and proximity to Newcastle upon Tyne.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5e8ce08190b7f5f2131bebcd4f |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027dd848481908052007e89c3f634 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.