Triple
T1045929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Wise |
E22577
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Newcastle upon Tyne |
E19107
|
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: Newcastle upon Tyne | Statement: [Greg Wise, placeOfBirth, Newcastle upon Tyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newcastle upon Tyne Context triple: [Greg Wise, placeOfBirth, Newcastle upon Tyne]
-
A.
Newcastle upon Tyne
chosen
Newcastle upon Tyne is a major city in northeast England known for its industrial heritage, iconic Tyne Bridge, and vibrant cultural and nightlife scenes.
-
B.
Newcastle
Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
-
C.
Gateshead
Gateshead is a large town in northeast England, situated on the southern bank of the River Tyne opposite Newcastle upon Tyne, known for its modern architecture and cultural venues.
-
D.
Tyne and Wear
Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
-
E.
Sunderland
Sunderland is a coastal city in Tyne and Wear, North East England, historically known for its shipbuilding and coal-mining industries and now a center for services, education, and automotive manufacturing.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84bb0048190badf6d2f7f684d99 |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0a15e48190a011c4aff5c285af |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:42 p.m.