Triple
T10018892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Temple |
E199564
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Westgate-on-Sea |
E676564
|
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: Westgate-on-Sea | Statement: [William Temple, placeOfDeath, Westgate-on-Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westgate-on-Sea Context triple: [William Temple, placeOfDeath, Westgate-on-Sea]
-
A.
Westgate-on-Sea
chosen
Westgate-on-Sea is a small seaside town on the north coast of Kent, England, known for its sandy beaches and Victorian architecture.
-
B.
Westcliff-on-Sea
Westcliff-on-Sea is a coastal suburban area in Essex, England, known for its seafront, residential neighborhoods, and proximity to the resort town of Southend-on-Sea.
-
C.
Seaham
Seaham is a small rural town in the Hunter Region of New South Wales, Australia, known for its historic buildings and riverside setting.
-
D.
Seaham
Seaham is a coastal town in North East England known for its seafront, historic harbor, and former coal mining heritage.
-
E.
Burnham-on-Sea
Burnham-on-Sea is a small seaside resort town on the Bristol Channel coast of Somerset in southwest England, known for its sandy beaches and historic low lighthouse.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4f3a988190892cc698109be8b8 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2821b22488190913d743bc40a4c8e |
completed | April 5, 2026, 3:39 p.m. |
Created at: March 30, 2026, 8:53 p.m.