Triple
T20703626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayisi Dene First Nation |
E508842
|
entity |
| Predicate | hasExperienceOf |
P141157
|
FINISHED |
| Object | colonial policies of displacement |
—
|
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: colonial policies of displacement | Statement: [Sayisi Dene First Nation, hasExperienceOf, colonial policies of displacement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExperienceOf Context triple: [Sayisi Dene First Nation, hasExperienceOf, colonial policies of displacement]
-
A.
hasPastExperience
Indicates that an entity has previously engaged in or undergone the specified activity, role, or situation in the past.
-
B.
hasExperienceElement
Indicates that an experience is composed of, or includes, a specific constituent element or component.
-
C.
typeOfExperience
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
D.
hasGlobalExperience
Indicates that an entity possesses experience gained from working, operating, or engaging across multiple countries or international contexts.
-
E.
hasNotableExperience
Indicates that an entity has a significant or distinguished experience related to another entity or context.
- 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_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. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:13 p.m.