Triple
T32505355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadar River |
E830776
|
entity |
| Predicate | hasSalinityContext |
P47060
|
FINISHED |
| Object | contributes to saline Lake Urmia |
—
|
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: contributes to saline Lake Urmia | Statement: [Gadar River, hasSalinityContext, contributes to saline Lake Urmia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSalinityContext Context triple: [Gadar River, hasSalinityContext, contributes to saline Lake Urmia]
-
A.
hasSalinityType
Indicates the type or category of salinity associated with an entity, such as its salinity level or classification.
-
B.
hasSalinityRange
Indicates the range of salinity values within which something (such as a substance, environment, or organism) is present, applicable, or able to function.
-
C.
hasSalinityIssue
chosen
Indicates that an entity is affected by or associated with a problem related to salinity levels.
-
D.
hasHigherSalinityThan
Indicates that one entity has a greater concentration of dissolved salts than another entity.
-
E.
hasHigherSalinityCause
Indicates that one condition, factor, or process is the cause of another having a higher level of salinity.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 1, 2026, 1 a.m.