Triple
T20703610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayisi Dene First Nation |
E508842
|
entity |
| Predicate | currentCommunityFocus |
P43777
|
FINISHED |
| Object | cultural revitalization |
—
|
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: cultural revitalization | Statement: [Sayisi Dene First Nation, currentCommunityFocus, cultural revitalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentCommunityFocus Context triple: [Sayisi Dene First Nation, currentCommunityFocus, cultural revitalization]
-
A.
currentCommunities
Indicates that an entity is presently a member of, associated with, or active within one or more communities.
-
B.
focusesOnCommunity
chosen
Indicates that the subject prioritizes and directs attention or effort toward the well-being, needs, or development of a community.
-
C.
communityActivity
Indicates that an entity participates in, contributes to, or is involved with activities organized for or by a community.
-
D.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
-
E.
communityType
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18dbda081908217dcb61cbf7ba4 |
completed | April 21, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:13 p.m.