Triple
T7839168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir David Amess |
E181759
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Southend-on-Sea |
E53391
|
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: Southend-on-Sea | Statement: [Sir David Amess, workLocation, Southend-on-Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southend-on-Sea Context triple: [Sir David Amess, workLocation, Southend-on-Sea]
-
A.
Southend-on-Sea
chosen
Southend-on-Sea is a coastal resort city in Essex, England, known for its seaside tourism and the world’s longest pleasure pier.
-
B.
Leigh-on-Sea
Leigh-on-Sea is a coastal town in Essex, England, known for its historic fishing village, estuary views, and vibrant arts and café culture.
-
C.
Basildon
Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
-
D.
Clacton-on-Sea
Clacton-on-Sea is a seaside resort town on the Essex coast of England, known for its sandy beaches, pier, and traditional British holiday attractions.
-
E.
Richmond Beach
Richmond Beach is a coastal neighborhood and public shoreline area in Shoreline, Washington, known for its waterfront park and views of Puget Sound.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c4680481908628d22bbe4842f4 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5abff2a88190a2f988b8b041ebb0 |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:47 p.m.