Triple
T37073488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manitoba Highway 12 |
E917644
|
entity |
| Predicate | connectsRuralArea |
P80865
|
FINISHED |
| Object | rural southeastern Manitoba |
—
|
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: rural southeastern Manitoba | Statement: [Manitoba Highway 12, connectsRuralArea, rural southeastern Manitoba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsRuralArea Context triple: [Manitoba Highway 12, connectsRuralArea, rural southeastern Manitoba]
-
A.
connectsRuralCommunitiesNear
Indicates a relationship where something (such as infrastructure or services) links rural communities that are geographically close to one another.
-
B.
connectsUrbanAndRuralAreas
Indicates a relationship where something provides a link or facilitates interaction between urban regions and rural regions.
-
C.
connectsResidentialArea
Indicates a relationship where something serves as a link or route between one residential area and another.
-
D.
connectsResidentialAreasTo
Indicates a relationship where an entity links or provides access between residential areas and other locations or networks.
-
E.
servesRuralArea
chosen
Indicates that an entity provides services or support specifically to people or communities located in rural areas.
- 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.