Triple
T2505441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunderland |
E52568
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tyne and Wear |
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: Tyne and Wear | Statement: [Sunderland, locatedIn, Tyne and Wear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyne and Wear Context triple: [Sunderland, locatedIn, Tyne and Wear]
-
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.
Merseyside
Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
-
C.
Yorkshire and the Humber
Yorkshire and the Humber is an official region of England encompassing major urban centers like Leeds and Sheffield along with parts of the historic county of Yorkshire.
-
D.
North Tyneside
North Tyneside is a metropolitan borough in Tyne and Wear, England, encompassing several coastal and urban communities on the north bank of the River Tyne.
-
E.
Newcastle upon Tyne
Newcastle upon Tyne is a major city in northeast England known for its industrial heritage, iconic Tyne Bridge, and vibrant cultural and nightlife scenes.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cec9f48190848b6129aa394ce4 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc020a6f881909b045d7d93bb9880 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:46 p.m.