Triple
T17464130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jats |
E425231
|
entity |
| Predicate | diaspora |
P2103
|
FINISHED |
| Object | Canada |
—
|
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: Canada | Statement: [Jats, diaspora, Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canada Context triple: [Jats, diaspora, Canada]
-
A.
Canada
chosen
Canada is a large North American country known for its vast natural landscapes, bilingual English-French heritage, and stable parliamentary democracy.
-
B.
Kanada
Kanada was an ancient Indian philosopher who founded the Vaisheshika school of Hindu philosophy, known for its early atomic theory and analysis of reality through categories of substance and qualities.
-
C.
Kvanada
Kvanada is a dialect of the Andi language spoken by a subset of the Andi people in the North Caucasus region of Russia.
-
D.
Canada Larga
Canada Larga is a small valley and creek area in Ventura County, California, known for its rural landscape and role as a tributary within the Ventura River watershed.
-
E.
ברית החדשה
ברית החדשה היא אוסף כתבי הקודש המרכזי של הנצרות, המתאר את חייו ותורתו של ישו ואת ראשית הקהילה הנוצרית.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a5bba08190b61a21fa7538ed69 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.