Triple
T13814690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Slovenia |
E331983
|
entity |
| Predicate | waterSymbolizes |
P111594
|
FINISHED |
| Object | Adriatic Sea and Slovenian rivers |
—
|
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: Adriatic Sea and Slovenian rivers | Statement: [flag of Slovenia, waterSymbolizes, Adriatic Sea and Slovenian rivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSymbolizes Context triple: [flag of Slovenia, waterSymbolizes, Adriatic Sea and Slovenian rivers]
-
A.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
C.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
D.
waterFeature
Indicates the presence of a natural or artificial body or flow of water associated with the subject.
-
E.
waterOrigin
Indicates the source or starting location from which the water originates or is supplied.
- F. None of above. chosen
Provenance (4 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02806e148190996f58934e66d7d8 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.