Triple
T19519342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec nationalism |
E488361
|
entity |
| Predicate | hasRadicalWing |
P128105
|
FINISHED |
| Object | independence-oriented Quebec nationalism |
—
|
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: independence-oriented Quebec nationalism | Statement: [Quebec nationalism, hasRadicalWing, independence-oriented Quebec nationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadicalWing Context triple: [Quebec nationalism, hasRadicalWing, independence-oriented Quebec nationalism]
-
A.
belongsToRadical
chosen
Indicates that something is a component, member, or part of a specified radical group or radical element.
-
B.
kangxiRadicalName
Indicates the specific Kangxi radical name associated with a given Chinese character or radical index.
-
C.
hasWingOf
Indicates that one entity possesses or is associated with the wing that belongs to another entity.
-
D.
hasWingIn
Indicates that an entity possesses a wing that is located in or contained within another specified entity or structure.
-
E.
radicalStrokeCount
Indicates the number of strokes used to write the radical component of a character.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359edd508190afd68739de676ed7 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7d0da88190aabf8b5799691fb1 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.