Triple
T22000410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnaby South |
E543308
|
entity |
| Predicate | legalDefinitionCompleted |
P146226
|
FINISHED |
| Object | 2013 representation order |
—
|
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: 2013 representation order | Statement: [Burnaby South, legalDefinitionCompleted, 2013 representation order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalDefinitionCompleted Context triple: [Burnaby South, legalDefinitionCompleted, 2013 representation order]
-
A.
legalDefinitionSource
Indicates the source (such as a statute, regulation, or case) from which a particular legal definition is derived.
-
B.
hasLegalDefinitionIn
Indicates that something possesses an official legal definition within a specified legal source, system, or jurisdiction.
-
C.
legalTermIn
Indicates that a particular legal term or concept is used, defined, or applicable within a specified legal document, jurisdiction, or context.
-
D.
legalConcept
Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
-
E.
USLegalTerm
Indicates that the subject is a legal concept, status, or designation specifically defined or recognized under United States law.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127699a7881908a80b6e9e33fcc0b |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:20 p.m.