Triple
T14224138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bafing River |
E352572
|
entity |
| Predicate | floodRegimeInfluencedBy |
P105164
|
FINISHED |
| Object | Fouta Djallon 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: Fouta Djallon rainfall | Statement: [Bafing River, floodRegimeInfluencedBy, Fouta Djallon rainfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodRegimeInfluencedBy Context triple: [Bafing River, floodRegimeInfluencedBy, Fouta Djallon rainfall]
-
A.
floodSeasonCause
Indicates the cause or contributing factor responsible for a particular flood season occurring.
-
B.
influenceOnRivers
chosen
Indicates the effect or impact that one entity has on the state, behavior, or condition of rivers.
-
C.
floodCause
Indicates that one entity is the cause or source of a flood affecting another entity or area.
-
D.
floodConsequence
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
-
E.
floodType
Indicates the specific kind or category of flooding involved in an event or situation.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.