Triple
T5517303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Tyne |
E144716
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Blaydon |
E287584
|
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: Blaydon | Statement: [River Tyne, flowsThrough, Blaydon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaydon Context triple: [River Tyne, flowsThrough, Blaydon]
-
A.
Blaydon
chosen
Blaydon is a town in North East England situated on the River Tyne, historically part of County Durham and now within the metropolitan area of Tyne and Wear.
-
B.
Belstead
Belstead is a small village and civil parish located in the county of Suffolk in eastern England.
-
C.
Dalham
Dalham is a small rural village and civil parish in West Suffolk, England, known for its historic church, manor house, and picturesque countryside setting.
-
D.
Bilsdale
Bilsdale is a rural valley in the North York Moors of North Yorkshire, England, known for its moorland scenery and scattered farming communities.
-
E.
Brundall
Brundall is a village in Norfolk, England, known for its riverside location in the Norfolk Broads and its boating and leisure activities.
- 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.