Triple
T22610627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thousand Islands History Museum |
E566689
|
entity |
| Predicate | operatedIn |
P40
|
FINISHED |
| Object | Gananoque |
—
|
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: Gananoque | Statement: [Thousand Islands History Museum, operatedIn, Gananoque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gananoque Context triple: [Thousand Islands History Museum, operatedIn, Gananoque]
-
A.
Woomargama
Woomargama is a small rural town in southern New South Wales, Australia, known for its proximity to Woomargama National Park and its agricultural surroundings.
-
B.
Belfountain
Belfountain is a small historic hamlet in the town of Caledon, Ontario, known for its scenic conservation area, waterfalls, and rural charm in the Niagara Escarpment region.
-
C.
Pointe-à-Raquette
Pointe-à-Raquette is the principal town and administrative center of Gonâve Island in Haiti.
-
D.
Neebing
Neebing is a rural township in northwestern Ontario, Canada, located just south of the city of Thunder Bay.
-
E.
Gananoque, Ontario
chosen
Gananoque, Ontario is a small Canadian town on the St. Lawrence River known as a gateway to the Thousand Islands region and a popular destination for boating and tourism.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ea291c8190ba73ba678089f75d |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:56 p.m.