Triple
T32505348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadar River |
E830776
|
entity |
| Predicate | contributesInflowTo |
P94832
|
FINISHED |
| Object | Lake Urmia |
—
|
NE NERFINISHED |
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: Lake Urmia | Statement: [Gadar River, contributesInflowTo, Lake Urmia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributesInflowTo Context triple: [Gadar River, contributesInflowTo, Lake Urmia]
-
A.
inflowTo
chosen
Indicates that something (such as a fluid, resource, or quantity) flows or moves into a specified target or destination.
-
B.
flowsUltimatelyInto
Indicates that something (typically a fluid, substance, or process) eventually moves or drains into another thing as its final destination, possibly through intermediate stages or paths.
-
C.
contributesRunoffTo
Indicates that one entity generates surface or subsurface water flow that is directed into and increases the runoff of another entity.
-
D.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
-
E.
secondaryInflow
Indicates an additional, non-primary flow of something (such as water, resources, or information) entering a main system or channel.
- 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_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 1, 2026, 1 a.m.