Triple
T10446541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheerness Line |
E246302
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Sheerness |
E705584
|
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: Sheerness | Statement: [Sheerness Line, connectsTo, Sheerness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheerness Context triple: [Sheerness Line, connectsTo, Sheerness]
-
A.
Sheerness
chosen
Sheerness is a coastal town and port on the Isle of Sheppey in Kent, England, historically significant for its naval dockyard and maritime defenses.
-
B.
Sheerness Port
Sheerness Port is a major deep-water port on the Isle of Sheppey in Kent, England, known for handling automotive imports, forest products, and other bulk cargo.
-
C.
Folkestone
Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
-
D.
Ramsgate
Ramsgate is a coastal resort town on South Africa’s KwaZulu-Natal South Coast, known for its beaches and holiday atmosphere.
-
E.
Ramsgate
Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdc0520c819098d2d53ee46a89ae |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fa5b3b081909af7de1745372add |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:16 p.m.