Triple
T19239452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltburn-by-the-Sea |
E481090
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | Saltburn-by-the-Sea |
—
|
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: Saltburn-by-the-Sea | Statement: [Saltburn-by-the-Sea, postalTown, Saltburn-by-the-Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saltburn-by-the-Sea Context triple: [Saltburn-by-the-Sea, postalTown, Saltburn-by-the-Sea]
-
A.
Saltburn-by-the-Sea
chosen
Saltburn-by-the-Sea is a Victorian-era seaside resort town on the North Yorkshire coast of England, known for its sandy beach, historic pier, and dramatic cliffs.
-
B.
Gunnerside
Gunnerside was the codename for a World War II Allied commando operation targeting the German heavy water production facility at Vemork in Nazi-occupied Norway.
-
C.
Gunnerside
Gunnerside is a small rural village in the Yorkshire Dales of northern England, known for its scenic Swaledale setting and historic lead-mining heritage.
-
D.
Saltwell
Saltwell is a British Labour Party politician who served as the Member of Parliament for Newcastle upon Tyne West in the early 20th century.
-
E.
Saltwell
Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf092fc8190bea90739bf7f6352 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:26 p.m.