Triple
T2688097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyne and Wear |
E57532
|
entity |
| Predicate | hasMajorUrbanCentre |
P316
|
FINISHED |
| Object | Gateshead |
E109553
|
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: Gateshead | Statement: [Tyne and Wear, hasMajorUrbanCentre, Gateshead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gateshead Context triple: [Tyne and Wear, hasMajorUrbanCentre, Gateshead]
-
A.
Gateshead
chosen
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.
-
B.
Wallsend
Wallsend is a town in North Tyneside, England, historically significant as the eastern terminus of Hadrian’s Wall and site of the Segedunum Roman Fort.
-
C.
Birkenhead
Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
-
D.
Newcastle
Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
-
E.
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.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f1ba3081909a349a2f30f8f9c9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb6de488190a0fb87efc7297ccb |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:54 p.m.