Triple
T22308941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swing Bridge |
E551461
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | River Tyne |
—
|
NE NERFINISHED |
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: River Tyne | Statement: [Swing Bridge, crosses, River Tyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Tyne Context triple: [Swing Bridge, crosses, River Tyne]
-
A.
River Tyne
chosen
The River Tyne is a major river in North East England that flows through Newcastle upon Tyne and Gateshead before reaching the North Sea.
-
B.
River Tyne
The River Tyne is a river in southeast Scotland that flows through Midlothian and East Lothian before reaching the North Sea near Dunbar.
-
C.
Tyne
Tyne is a feminine given name most notably borne by American actress Tyne Daly.
-
D.
Tyne and Tees
Tyne and Tees was the nickname of the British 50th (Northumbrian) Infantry Division, a renowned World War II formation noted for its role in major campaigns including the Normandy landings.
-
E.
River Ouse
The River Ouse is a major river in East Sussex, England, flowing through towns such as Lewes before reaching the English Channel at Newhaven.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574c8a248190bf5eef5be78381fd |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.