Triple
T20108506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Electoral Boundaries Commission for Newfoundland and Labrador |
E490260
|
entity |
| Predicate | frequencyOfMandate |
P8512
|
FINISHED |
| Object | after each decennial census |
—
|
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: after each decennial census | Statement: [Federal Electoral Boundaries Commission for Newfoundland and Labrador, frequencyOfMandate, after each decennial census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyOfMandate Context triple: [Federal Electoral Boundaries Commission for Newfoundland and Labrador, frequencyOfMandate, after each decennial census]
-
A.
frequencyRequirement
chosen
Indicates a constraint specifying how often an action, event, or condition must occur within a given context or time frame.
-
B.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
-
C.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
D.
divisionFrequency
Indicates how often a division event occurs within a given context or time frame.
-
E.
FrequensClaim
Indicates that an entity frequently asserts, states, or claims something, emphasizing the repeated nature of the claiming action.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666ddb09881909ad2aedd1e8a78da |
completed | April 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:28 p.m.