Triple
T32864743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galunggung crater lake |
E840617
|
entity |
| Predicate | inflowSource |
P169645
|
FINISHED |
| Object | rainfall |
—
|
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: rainfall | Statement: [Galunggung crater lake, inflowSource, rainfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inflowSource Context triple: [Galunggung crater lake, inflowSource, rainfall]
-
A.
inflowTo
Indicates that something (such as a fluid, resource, or quantity) flows or moves into a specified target or destination.
-
B.
secondaryInflow
Indicates an additional, non-primary flow of something (such as water, resources, or information) entering a main system or channel.
-
C.
inletType
Indicates the specific kind or category of inlet through which something (such as a fluid, signal, or material) enters a system or component.
-
D.
mainInflowFrom
chosen
Indicates that the primary source or largest contributing inflow to something (e.g., a body, system, or process) comes from a specified origin.
-
E.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ceb9252c819088c4ff264fbef697 |
completed | May 3, 2026, 4:27 a.m. |
| PD | Predicate disambiguation | batch_69f6cc177b288190904f3f23cb856d8b |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:17 a.m.