Triple
T16837084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manas Lake |
E409310
|
entity |
| Predicate | salinityCause |
P32805
|
FINISHED |
| Object | evaporation concentration of dissolved salts |
—
|
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: evaporation concentration of dissolved salts | Statement: [Manas Lake, salinityCause, evaporation concentration of dissolved salts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salinityCause Context triple: [Manas Lake, salinityCause, evaporation concentration of dissolved salts]
-
A.
salinity
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
-
B.
hasHigherSalinityCause
chosen
Indicates that one condition, factor, or process is the cause of another having a higher level of salinity.
-
C.
salinityRegime
Indicates the pattern or level of salt concentration characterizing an environment or system over time.
-
D.
hasSalinityIssue
Indicates that an entity is affected by or associated with a problem related to salinity levels.
-
E.
salinityTrend
Indicates how the salinity level of a given environment or water body changes over time (e.g., increasing, decreasing, or remaining stable).
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34e080c8190bf7a236205b41db2 |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.