Triple
T19623974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Deer River (Alberta) |
E471084
|
entity |
| Predicate | Dickson DamPurpose |
P136738
|
FINISHED |
| Object | flow regulation |
—
|
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: flow regulation | Statement: [Red Deer River (Alberta), Dickson DamPurpose, flow regulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Dickson DamPurpose Context triple: [Red Deer River (Alberta), Dickson DamPurpose, flow regulation]
-
A.
watercourseHasDam
Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
-
B.
reservoirCreatedByDam
Indicates that a reservoir exists as a result of being formed or impounded by a specific dam.
-
C.
numberOfDams
Indicates the quantity of dams associated with or present in a given entity or context.
-
D.
isTributaryDamOf
Indicates that a dam is constructed on and regulates the flow of a tributary river or stream relative to a main watercourse.
-
E.
hasLockAndDamSystem
Indicates that one entity possesses or is equipped with a system of locks and dams used to control water levels and facilitate navigation.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e8695c81909268c5a91cdbb7fa |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.