Triple
T5174171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Shields |
E116755
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Tyneside |
E57532
|
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: Tyneside | Statement: [South Shields, region, Tyneside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyneside Context triple: [South Shields, region, Tyneside]
-
A.
Tyne and Wear
chosen
Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
-
B.
Washington, Tyne and Wear
Washington, Tyne and Wear is a town in North East England that forms part of the City of Sunderland and is historically associated with the ancestors of U.S. President George Washington.
-
C.
Merseyside
Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
-
D.
Teesside
Teesside is an urban area in North East England centered around the River Tees, encompassing towns such as Middlesbrough and Stockton-on-Tees and known for its industrial heritage.
-
E.
Wearside
Wearside is an area in North East England centered on the city of Sunderland and the valley of the River Wear.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd796f7c308190a721e33aabd499ac |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefb2464081909ee9f05788ef5c30 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:45 p.m.