Triple
T22728320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberta census divisions |
E562056
|
entity |
| Predicate | usedInCensusYears |
P53422
|
FINISHED |
| Object | every quinquennial 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: every quinquennial census | Statement: [Alberta census divisions, usedInCensusYears, every quinquennial census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCensusYears Context triple: [Alberta census divisions, usedInCensusYears, every quinquennial census]
-
A.
basedOnCensusYear
Indicates that something (such as data, a decision, or a classification) is derived from or determined using information from a specific census year.
-
B.
populationCensusYear
Indicates the specific year in which an official population census was conducted or recorded for an entity.
-
C.
censusReportedIn
chosen
Indicates that information about a population or demographic count is documented or recorded in a specific census.
-
D.
nationalYears
Indicates the span of years during which an entity was active or affiliated at the national level (e.g., on a national team or in a national role).
-
E.
usedByYears
Indicates the span of years during which something (such as a method, standard, or item) was in use by a particular 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792b22cc819099aa00bb2dbacce3 |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:21 p.m.