Triple
T19230987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lachine Canal bike path |
E480869
|
entity |
| Predicate | hasAdjacentWaterwayUse |
P77032
|
FINISHED |
| Object | pleasure boating on Lachine Canal |
—
|
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: pleasure boating on Lachine Canal | Statement: [Lachine Canal bike path, hasAdjacentWaterwayUse, pleasure boating on Lachine Canal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentWaterwayUse Context triple: [Lachine Canal bike path, hasAdjacentWaterwayUse, pleasure boating on Lachine Canal]
-
A.
hasNearbyWatersUsedBy
Indicates that a body of water located near an entity is utilized or accessed by another specified entity.
-
B.
hasWaterfrontUse
chosen
Indicates that an entity is used, designated, or suitable for activities or purposes directly related to a waterfront or shoreline area.
-
C.
usedWaterway
Indicates that one entity traveled, transported goods, or otherwise moved via a particular waterway as the route or medium of use.
-
D.
hasWatershedUse
Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
-
E.
hasWaterwayRole
Indicates that an entity participates in or is associated with a waterway in a specific functional capacity or role.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9ce5e081909df994841ce476d5 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.