Triple
T35289266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rural Municipality of Kelvington No. 366 |
E1019174
|
entity |
| Predicate | isRuralMunicipalityNumber |
P182690
|
FINISHED |
| Object | 366 |
—
|
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: 366 | Statement: [Rural Municipality of Kelvington No. 366, isRuralMunicipalityNumber, 366]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRuralMunicipalityNumber Context triple: [Rural Municipality of Kelvington No. 366, isRuralMunicipalityNumber, 366]
-
A.
isRuralMunicipalityOf
Indicates that one entity is a rural municipality that is administratively or geographically part of, or governed by, another entity.
-
B.
hasRuralMunicipalityStatus
Indicates that an administrative entity holds the official legal status of a rural municipality.
-
C.
isRuralDistrictOf
Indicates that one administrative area is a rural district that belongs to or is governed as part of another, typically larger, administrative unit.
-
D.
isRuralRegion
Indicates that a region is classified as rural, typically characterized by low population density and limited urban development.
-
E.
hasMunicipalDistrictNumber
Indicates that a municipality or local administrative unit is assigned a specific district number within its municipal structure.
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.