Triple
T12535776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldeburgh |
E299684
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Thorpeness |
E303653
|
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: Thorpeness | Statement: [Aldeburgh, near, Thorpeness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorpeness Context triple: [Aldeburgh, near, Thorpeness]
-
A.
Thorpeness
chosen
Thorpeness is a quirky seaside village on the Suffolk coast of England, known for its mock-Tudor holiday homes, boating Meare, and the iconic House in the Clouds.
-
B.
Orford Quay
Orford Quay is a small historic waterfront and landing area on the River Ore serving the village of Orford in Suffolk, England.
-
C.
Frinton-on-Sea
Frinton-on-Sea is a seaside town on the east coast of England known for its sandy beaches, Edwardian and Victorian architecture, and traditionally quiet, family-oriented atmosphere.
-
D.
Wells-next-the-Sea
Wells-next-the-Sea is a small coastal town in Norfolk, England, known for its picturesque harbor, expansive sandy beach, and traditional seaside charm.
-
E.
Alnmouth
Alnmouth is a coastal village in Northumberland, England, known for its scenic beach, historic harbor, and role as a small railway stop on the route between Newcastle and Edinburgh.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d672808190b72a923e285a91bb |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:57 p.m.