Triple
T31542573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Branch Muskoka River |
E804784
|
entity |
| Predicate | hasLandcoverInBasin |
P116511
|
FINISHED |
| Object | forest |
—
|
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: forest | Statement: [South Branch Muskoka River, hasLandcoverInBasin, forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandcoverInBasin Context triple: [South Branch Muskoka River, hasLandcoverInBasin, forest]
-
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.
hasWaterBasins
Indicates that one entity possesses, contains, or includes one or more water basins in relation to another entity.
-
D.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
-
E.
basinCovered
Indicates that a basin or sink is covered or has a cover placed over it.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 30, 2026, 10:06 p.m.