Triple
T26233845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Lakes |
E656111
|
entity |
| Predicate | salinityManagement |
P157600
|
FINISHED |
| Object | barrage system at Murray Mouth |
—
|
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: barrage system at Murray Mouth | Statement: [Lower Lakes, salinityManagement, barrage system at Murray Mouth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salinityManagement Context triple: [Lower Lakes, salinityManagement, barrage system at Murray Mouth]
-
A.
salinityControlledBy
chosen
Indicates that the salinity level of one entity is regulated, influenced, or determined by another entity or process.
-
B.
salinityRegime
Indicates the pattern or level of salt concentration characterizing an environment or system over time.
-
C.
salinity
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
-
D.
salinityAdaptationMechanism
Indicates the mechanism by which an entity adjusts or responds to varying salinity levels in its environment.
-
E.
salinityGradient
Indicates a relationship where the salinity of a medium changes in magnitude across space or depth between two locations or regions.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d88c7b0819096aa999f8f366dbd |
completed | May 2, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9 p.m.