Triple
T27682547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloydminster |
E697944
|
entity |
| Predicate | censusDivisionAlberta |
P158881
|
FINISHED |
| Object | Division No. 10 |
—
|
NE NERFINISHED |
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: Division No. 10 | Statement: [Lloydminster, censusDivisionAlberta, Division No. 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censusDivisionAlberta Context triple: [Lloydminster, censusDivisionAlberta, Division No. 10]
-
A.
demographicCensusDivision
chosen
Indicates the census-defined demographic division or region with which an entity is associated.
-
B.
hasCensusDivisionCode
Indicates that an entity is associated with a specific census division identified by a particular code.
-
C.
censusSubdivisionType
Indicates the specific administrative or geographic category assigned to a census subdivision (e.g., city, town, rural area) within a census system.
-
D.
hasCensusSubdivision
Indicates that an entity (typically a larger administrative area) includes or is associated with a specific census-defined subdivision within it.
-
E.
censusDivisionType
Indicates the classification of a census division according to its official administrative or statistical type.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6357044208190887c948836f44aee |
completed | May 2, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:47 p.m.