Triple
T29941589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwaii Haanas Agreement |
E760511
|
entity |
| Predicate | notAffecting |
P57963
|
FINISHED |
| Object | sovereignty positions of the Haida Nation |
—
|
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: sovereignty positions of the Haida Nation | Statement: [Gwaii Haanas Agreement, notAffecting, sovereignty positions of the Haida Nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notAffecting Context triple: [Gwaii Haanas Agreement, notAffecting, sovereignty positions of the Haida Nation]
-
A.
nonTargetImpact
Indicates that an action or intervention affects entities other than the intended or primary target.
-
B.
notAbout
chosen
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
-
C.
notTouchedBy
Indicates that one entity has not made physical contact with another entity.
-
D.
hasNotableImpact
Indicates that one entity exerts a significant or noteworthy influence or effect on another entity or context.
-
E.
notReactiveWith
Indicates that one entity does not undergo a chemical or functional reaction when brought into contact or association with 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6780791108190bfec07f0d7119674 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:22 p.m.