Triple
T36446749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papagni River |
E897893
|
entity |
| Predicate | waterFlowPattern |
P196161
|
FINISHED |
| Object | seasonal |
—
|
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: seasonal | Statement: [Papagni River, waterFlowPattern, seasonal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterFlowPattern Context triple: [Papagni River, waterFlowPattern, seasonal]
-
A.
waterFlowsThrough
Indicates that water moves along a path or channel passing from one location or object to another.
-
B.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
C.
waterFlowSchedule
Indicates the planned timing and pattern according to which water is released, delivered, or allowed to flow.
-
D.
waterFlowViewed
Indicates that the flow of water is being observed or visually perceived by an entity.
-
E.
drainagePattern
Indicates the characteristic spatial arrangement and connectivity of natural or artificial drainage features (such as streams, channels, or pipes) within an area.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
| PDg | Predicate description generation | batch_69fe0d14778c8190986fa4f37f992a2f |
completed | May 8, 2026, 4:19 p.m. |
Created at: May 3, 2026, 4:10 p.m.