Triple
T21152756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Chief |
E521232
|
entity |
| Predicate | representsInForum |
P114538
|
FINISHED |
| Object | national policy discussions affecting First Nations |
—
|
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: national policy discussions affecting First Nations | Statement: [National Chief, representsInForum, national policy discussions affecting First Nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInForum Context triple: [National Chief, representsInForum, national policy discussions affecting First Nations]
-
A.
providesForumFor
Indicates that one entity offers a setting, platform, or opportunity in which another entity can be discussed, expressed, or interact.
-
B.
associatedWithForum
chosen
Indicates that an entity has a connection or involvement with a specific forum, such as participation, membership, or linkage.
-
C.
typeOfForum
Indicates the specific category or kind of forum that an entity belongs to or is classified as.
-
D.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
E.
resents
Indicates that one entity feels bitterness, anger, or lingering ill will toward another, typically due to a perceived wrong or unfair treatment.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7240275b481908748c0e3f187ed34 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.