Triple
T22597856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UBC Law Review |
E574731
|
entity |
| Predicate | editorialBoardComposedOf |
P103157
|
FINISHED |
| Object | law students |
—
|
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: law students | Statement: [UBC Law Review, editorialBoardComposedOf, law students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialBoardComposedOf Context triple: [UBC Law Review, editorialBoardComposedOf, law students]
-
A.
hasEditorialBoard
Indicates that an entity (such as a publication or journal) is overseen or governed by a specific editorial board.
-
B.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
-
C.
co-editedWith
Indicates that two or more entities jointly served as editors of the same work or publication.
-
D.
hasEditorialStaff
chosen
Indicates that an entity is associated with one or more people responsible for editing, reviewing, or curating its content.
-
E.
editorAffiliation
Indicates that an editor is affiliated with, or belongs to, a particular organization or institution.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626aa0808190a43e65f6aaabfeb4 |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:50 p.m.