Triple
T17702552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verchères |
E441343
|
entity |
| Predicate | locatedOnWaterwayUsedFor |
P5565
|
FINISHED |
| Object | St. Lawrence Seaway navigation |
—
|
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: St. Lawrence Seaway navigation | Statement: [Verchères, locatedOnWaterwayUsedFor, St. Lawrence Seaway navigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnWaterwayUsedFor Context triple: [Verchères, locatedOnWaterwayUsedFor, St. Lawrence Seaway navigation]
-
A.
locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
-
B.
usedWaterway
Indicates that one entity traveled, transported goods, or otherwise moved via a particular waterway as the route or medium of use.
-
C.
associatedWithWaterways
Indicates a relationship in which something is connected, linked, or relevant to waterways such as rivers, canals, or streams.
-
D.
waterwayServed
chosen
Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
-
E.
isWaterway
Indicates that one entity is a water-based route or channel (such as a river, canal, or sea lane) used for travel or transport.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715c3980819094b080a871df1100 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:05 a.m.