Triple
T28562380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Bermejo |
E722579
|
entity |
| Predicate | hasBasinUse |
P116183
|
FINISHED |
| Object | extensive cattle ranching in surrounding region |
—
|
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: extensive cattle ranching in surrounding region | Statement: [Río Bermejo, hasBasinUse, extensive cattle ranching in surrounding region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasinUse Context triple: [Río Bermejo, hasBasinUse, extensive cattle ranching in surrounding region]
-
A.
basinUse
chosen
Indicates that a basin is used for a particular purpose, activity, or function.
-
B.
hasWatershedUse
Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
-
C.
hasRiverUse
Indicates that one entity makes use of a river associated with another entity, such as for transport, irrigation, recreation, or other purposes.
-
D.
hasWaterUse
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
-
E.
hasBasinFunction
Indicates that something serves the role or performs the function of a basin, such as collecting, holding, or draining water or other substances.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 4:05 a.m.