Triple
T30745109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwards v Canada (Attorney General) |
E782795
|
entity |
| Predicate | citationCountry |
P170088
|
FINISHED |
| Object | UK Privy Council decision on Canadian appeal |
—
|
LITERAL 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: UK Privy Council decision on Canadian appeal | Statement: [Edwards v Canada (Attorney General), citationCountry, UK Privy Council decision on Canadian appeal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationCountry Context triple: [Edwards v Canada (Attorney General), citationCountry, UK Privy Council decision on Canadian appeal]
-
A.
countryOfResearch
Indicates the country where the research activity was primarily conducted or based.
-
B.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
C.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
D.
repositoryCountry
Indicates the country in which a repository is located or maintained.
-
E.
countryOfNotableWork
Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
- F. None of above. chosen
Provenance (4 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f6cba0c8190a02288899be05007 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:38 p.m.