Triple
T18111671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land’s End Airport |
E433490
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | St Just |
—
|
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: St Just | Statement: [Land’s End Airport, near, St Just]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Just Context triple: [Land’s End Airport, near, St Just]
-
A.
St Just
chosen
St Just is a small historic town in west Cornwall, England, known for its mining heritage and rugged coastal scenery near Land’s End.
-
B.
Teignmouth
Teignmouth is a seaside town on the south coast of Devon, England, known for its historic port, sandy beaches, and scenic coastal railway views.
-
C.
Salcombe
Salcombe is a picturesque coastal town in South Devon, England, known for its sailing, sandy beaches, and scenic estuary setting.
-
D.
Porthleven
Porthleven is a coastal fishing village and popular tourist destination in Cornwall, England, known for its picturesque harbour and dramatic Atlantic seafront.
-
E.
Nailsea
Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3422c81908396a21bd53f3e47 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.