Triple
T25167035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usutu River |
E630206
|
entity |
| Predicate | passesThroughCapitalRegion |
P77740
|
FINISHED |
| Object | Eswatini |
—
|
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: Eswatini | Statement: [Usutu River, passesThroughCapitalRegion, Eswatini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passesThroughCapitalRegion Context triple: [Usutu River, passesThroughCapitalRegion, Eswatini]
-
A.
passesThroughCapital
Indicates that a route, path, or trajectory goes through or intersects the capital city of a given region or country.
-
B.
passesThroughAdministrativeRegion
chosen
Indicates that a route, path, or movement crosses into or through the territory of a specified administrative region.
-
C.
passesThroughCountry
Indicates that a route, path, or object traverses or crosses within the boundaries of a specified country.
-
D.
locatedInNationCapitalRegion
Indicates that an entity is situated within the capital region of a specific nation.
-
E.
isInStateCapitalRegionOf
Indicates that one entity is located within the capital region of the state to which the other entity belongs.
- 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46d42ec0081908231beebf495cf3e |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:17 p.m.