Triple
T19044792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Balkhash |
E466102
|
entity |
| Predicate | waterSalinityGradient |
P9312
|
FINISHED |
| Object | increases from west to east |
—
|
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: increases from west to east | Statement: [Lake Balkhash, waterSalinityGradient, increases from west to east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSalinityGradient Context triple: [Lake Balkhash, waterSalinityGradient, increases from west to east]
-
A.
salinityGradient
chosen
Indicates a relationship where the salinity of a medium changes in magnitude across space or depth between two locations or regions.
-
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.
salinityPreference
Indicates the preferred range or level of salinity under which an entity most optimally exists, functions, or occurs.
-
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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d803b2b08190b057d4b5bc555d4f |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.