Triple
T9680556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division No. 3, Alberta |
E234266
|
entity |
| Predicate | hasCensusFunction |
P89595
|
FINISHED |
| Object | statistical area for census purposes |
—
|
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: statistical area for census purposes | Statement: [Division No. 3, Alberta, hasCensusFunction, statistical area for census purposes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCensusFunction Context triple: [Division No. 3, Alberta, hasCensusFunction, statistical area for census purposes]
-
A.
hasCensusAreas
Indicates that an entity is associated with one or more defined census areas used for demographic or statistical purposes.
-
B.
hasCensusDay
Indicates the specific date on which a census is officially conducted or referenced for a given census event.
-
C.
censusNumber
Indicates the unique identifier or count assigned to an entity within an official census record.
-
D.
census
Indicates that an official count or survey is conducted to determine the number and characteristics of a population within a defined area or group.
-
E.
includedInCensus
Indicates that an entity was recorded or counted as part of a specific census.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9dcbe881908ae926a5b5eae759 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:16 p.m.