Triple
T2199861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devil's Cataract |
E50462
|
entity |
| Predicate | flowVariation |
P36918
|
FINISHED |
| Object | higher flow during rainy season |
—
|
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: higher flow during rainy season | Statement: [Devil's Cataract, flowVariation, higher flow during rainy season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowVariation Context triple: [Devil's Cataract, flowVariation, higher flow during rainy season]
-
A.
flowType
Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
-
B.
flowsOver
Indicates that one substance or medium moves across the surface or boundary of another, covering or passing above it.
-
C.
flowsMostly
Indicates that one entity predominantly flows or moves in the direction of, or through, another entity, more so than in other directions or paths.
-
D.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
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. chosen
Provenance (4 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf35c994819088a093c412931de4 |
completed | March 7, 2026, 6:01 a.m. |
Created at: March 4, 2026, 7:46 p.m.