Triple
T28830705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Nile sub-basin |
E728040
|
entity |
| Predicate | hasKeyCountry |
P846
|
FINISHED |
| Object | Ethiopia |
—
|
NE NERFINISHED |
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: Ethiopia | Statement: [Eastern Nile sub-basin, hasKeyCountry, Ethiopia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCountry Context triple: [Eastern Nile sub-basin, hasKeyCountry, Ethiopia]
-
A.
hasCountry
chosen
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
-
C.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
-
D.
hasFlagCountry
Indicates that a country is the one whose national flag is associated with or used by a given entity.
-
E.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 28, 2026, 6:37 a.m.