Triple
T6074605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle Ewart |
E135368
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Innisfil |
E23616
|
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: Innisfil | Statement: [Belle Ewart, locatedIn, Innisfil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innisfil Context triple: [Belle Ewart, locatedIn, Innisfil]
-
A.
Innisfil
chosen
Innisfil is a growing town in central Ontario, Canada, located on the western shore of Lake Simcoe and known for its mix of rural landscapes, residential communities, and recreational waterfront.
-
B.
Longlac
Longlac is a small community in northern Ontario, Canada, known historically as a fur-trading and forestry town located along Highway 11 and Long Lake.
-
C.
Ornsay
Ornsay is a small Scottish island located off the coast of the Isle of Skye, known for its scenic lighthouse and views over the Sound of Sleat.
-
D.
The Lakes
The Lakes is a British television drama series set in England’s Lake District, following the troubled life of a young man who relocates there seeking a fresh start.
-
E.
Kingskettle
Kingskettle is a small village in Fife, Scotland, known historically for its rural character and former linen-weaving industry.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575d4ed481908eddc88e9b90e22f |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1357be6fc819092845e1ffe988c16 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:11 p.m.