Triple
T32548589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile–Congo divide |
E831910
|
entity |
| Predicate | drainageOutcomeOnOneSide |
P63074
|
FINISHED |
| Object | Mediterranean Sea via Nile |
—
|
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: Mediterranean Sea via Nile | Statement: [Nile–Congo divide, drainageOutcomeOnOneSide, Mediterranean Sea via Nile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageOutcomeOnOneSide Context triple: [Nile–Congo divide, drainageOutcomeOnOneSide, Mediterranean Sea via Nile]
-
A.
drainageResult
chosen
Indicates the outcome or effect produced by a drainage process or activity.
-
B.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
C.
drainageAttemptedBy
Indicates that an action to drain fluid or liquid from something was attempted by a specified agent or entity.
-
D.
drainageAssociatedWith
Indicates that one entity has a drainage relationship or connection with another, such as sharing, affecting, or being linked through water or fluid drainage.
-
E.
drainageCompletedIn
Indicates that the process of draining (e.g., water or fluid removal) was fully completed within a specified time, place, or context.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5c3636c81908cb7b9418c47dbf0 |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.