Triple
T7506155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Runcorn |
E177393
|
entity |
| Predicate | workLocation |
P7
|
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: [Keith Runcorn, workLocation, Newcastle upon Tyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newcastle upon Tyne Context triple: [Keith Runcorn, workLocation, 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 community in the municipality of Clarington, Ontario, known for its small-town character and location along the north shore of Lake Ontario.
-
C.
Newcastle
Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
-
D.
Newcastle
Newcastle is a major industrial and commercial city in South Africa’s KwaZulu-Natal province, known for its manufacturing, coal mining, and regional service economy.
-
E.
Newcastle
Newcastle is a suburban city in King County, Washington, known for its residential neighborhoods, parks, and proximity to Bellevue and Seattle.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b5fcd88190ab4ab0ba96a6aa4b |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c5f1f408190a7d42abe28605ddb |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:45 p.m.