Triple
T18301749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s University Faculty of Law |
E438373
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Kingston |
—
|
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: Kingston | Statement: [Queen’s University Faculty of Law, city, Kingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingston Context triple: [Queen’s University Faculty of Law, city, Kingston]
-
A.
Kingston
Kingston is the largest city of Jamaica and its political, cultural, and economic center.
-
B.
Kingston
Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
-
C.
Kingston
Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
-
D.
Kingston
Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
-
E.
Kingston
chosen
Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50180ac48819090e9a8f11ba10c3d |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.