Triple
T36049741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia River valley near Castlegar |
E1042773
|
entity |
| Predicate | hasNearbyConfluenceWith |
P202038
|
FINISHED |
| Object | Kootenay River |
—
|
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: Kootenay River | Statement: [Columbia River valley near Castlegar, hasNearbyConfluenceWith, Kootenay River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyConfluenceWith Context triple: [Columbia River valley near Castlegar, hasNearbyConfluenceWith, Kootenay River]
-
A.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
B.
hasNearbyPassage
Indicates that one location or object is situated close to a passage, such as a corridor, tunnel, or route, that provides access or transit nearby.
-
C.
hasNearbyCove
Indicates that one location is situated close to a small sheltered bay or cove.
-
D.
hasNearbyPoint
Indicates that one entity has at least one other point located within a specified proximity or distance from it.
-
E.
hasNearbyCommon
Indicates that two entities share at least one common element, feature, or connection that is located within a specified nearby distance or vicinity.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_6a004868cf308190a2a93c32c92f22d9 |
completed | May 10, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:07 p.m.