Triple
T13825336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada (Francophone lodges) |
E332234
|
entity |
| Predicate | usesDegreeSystem |
P58852
|
FINISHED |
| Object | three craft degrees |
—
|
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: three craft degrees | Statement: [Canada (Francophone lodges), usesDegreeSystem, three craft degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDegreeSystem Context triple: [Canada (Francophone lodges), usesDegreeSystem, three craft degrees]
-
A.
degreeSystem
Indicates a relationship where an entity’s degree or qualification is defined, classified, or governed by a particular educational or grading system.
-
B.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
C.
hasGradeSystem
chosen
Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by another entity.
-
D.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
E.
notionOfDegree
Indicates a relationship where one entity specifies or characterizes the degree, intensity, or extent to which a property or condition applies to another entity.
- F. None of above.
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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.