Triple
T16587778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Deer River (Manitoba) |
E403002
|
entity |
| Predicate | watershedLandCover |
P116511
|
FINISHED |
| Object | forested |
—
|
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: forested | Statement: [Red Deer River (Manitoba), watershedLandCover, forested]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watershedLandCover Context triple: [Red Deer River (Manitoba), watershedLandCover, forested]
-
A.
drainageBasinLandCover
chosen
Indicates the type or characteristics of land cover present within a drainage basin area.
-
B.
drainageBasinLandUse
Indicates how the land within a drainage basin is utilized or managed (e.g., for agriculture, urban development, or natural vegetation).
-
C.
watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
D.
watershedArea
Indicates the total land area from which surface water drains into a particular water body or point in the drainage system.
-
E.
forestCoverCharacteristic
Indicates a relationship where a forested area possesses a specific attribute or quality related to its tree or vegetation cover.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599daa508190a9ed6f64138c0e53 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.