Triple
T38673193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wainfleet, Ontario |
E943655
|
entity |
| Predicate | regionalRoadNetwork |
P3293
|
FINISHED |
| Object | Niagara Regional Roads |
—
|
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: Niagara Regional Roads | Statement: [Wainfleet, Ontario, regionalRoadNetwork, Niagara Regional Roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalRoadNetwork Context triple: [Wainfleet, Ontario, regionalRoadNetwork, Niagara Regional Roads]
-
A.
roadTypeToRegion
Indicates the association between a specific type of road and the geographic region in which that road type applies or is found.
-
B.
roadNetworkJurisdiction
Indicates the authority or entity responsible for managing, regulating, or maintaining a given segment of the road network.
-
C.
transportCountryRoads
Indicates the action of transporting something or someone via country roads as the route or infrastructure used.
-
D.
roadSystem
chosen
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
E.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00a2f0d1588190a936ea7df0ef0464 |
completed | May 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_6a00a28ccd94819085b5e123f5a4769e |
completed | May 10, 2026, 3:21 p.m. |
Created at: May 3, 2026, 4:33 p.m.