Triple
T33603326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangweulu wetlands |
E860778
|
entity |
| Predicate | peakFlooding |
P39938
|
FINISHED |
| Object | March to May |
—
|
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: March to May | Statement: [Bangweulu wetlands, peakFlooding, March to May]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakFlooding Context triple: [Bangweulu wetlands, peakFlooding, March to May]
-
A.
floodEvent
chosen
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
B.
formedByFlooding
Indicates that something came into existence or was created as a result of flooding.
-
C.
floodType
Indicates the specific kind or category of flooding involved in an event or situation.
-
D.
floodRecord
Indicates that an entity serves as a documented record or report of a flood event affecting another entity or area.
-
E.
floodEnhancedBy
Indicates that the occurrence, intensity, or impact of a flood is increased or made more severe by the associated factor or condition.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f7dcc5008190bcddb0211741a32b |
completed | May 3, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.