Triple
T10960908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Crown in right of Quebec |
E258969
|
entity |
| Predicate | continuityPrinciple |
P96857
|
FINISHED |
| Object | Crown never dies |
—
|
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: Crown never dies | Statement: [Canadian Crown in right of Quebec, continuityPrinciple, Crown never dies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuityPrinciple Context triple: [Canadian Crown in right of Quebec, continuityPrinciple, Crown never dies]
-
A.
continuityRelation
Indicates a relationship where one entity directly follows, extends, or maintains an unbroken connection with another in space, time, or logical sequence.
-
B.
continuityFeature
Indicates that one entity serves as a continuity-related element (such as a transition, connector, or linking feature) that maintains or supports an ongoing, coherent relationship between two points, states, or segments.
-
C.
continuityType
Indicates the specific manner or pattern in which continuity is maintained or transitions occur between related elements or states.
-
D.
continuityFrom
Indicates that one entity continues, extends, or proceeds directly from another in a seamless or unbroken manner.
-
E.
symbolicContinuity
Indicates that there is a consistent, ongoing use or preservation of the same symbols or symbolic forms across time, contexts, or instances.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771293c208190ac084681ed801e22 |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.