Triple
T284785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadrian's Wall |
E5864
|
entity |
| Predicate | startPoint |
P389
|
FINISHED |
| Object | Wallsend |
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: Wallsend | Statement: [Hadrian's Wall, startPoint, Wallsend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallsend Context triple: [Hadrian's Wall, startPoint, Wallsend]
-
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.
Saltney
Saltney is a town near the England–Wales border, close to Chester, known historically for its industrial activity and proximity to the River Dee.
-
C.
Margate
Margate is a historic seaside resort town on the north coast of Kent in southeast England, known for its sandy beaches, amusement attractions, and vibrant arts scene.
-
D.
Horley
Horley is a town in southeast England situated near Gatwick Airport, known as a commuter hub between London and the Sussex coast.
-
E.
Scarborough
Scarborough is a large, diverse district in the eastern part of Toronto known for its multicultural communities, parks, and coastal bluffs along Lake Ontario.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe8dde4c8190bd897e5251eb6941 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.