Triple
T37193301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medgidia river–canal port |
E921521
|
entity |
| Predicate | waterBodyBasin |
P5506
|
FINISHED |
| Object | Danube River basin |
—
|
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: Danube River basin | Statement: [Medgidia river–canal port, waterBodyBasin, Danube River basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyBasin Context triple: [Medgidia river–canal port, waterBodyBasin, Danube River basin]
-
A.
basin
chosen
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
-
B.
basinSystem
Indicates a relationship where one entity functions as or belongs to a basin system associated with another entity.
-
C.
basinFor
Indicates that something serves as a basin or receptacle specifically intended for collecting, holding, or draining another entity.
-
D.
basinType
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
-
E.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
- 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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.