Triple
T16442694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sava Bohinjka |
E399342
|
entity |
| Predicate | isHeadwaterOfLongestRiverInSlovenia |
P122805
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sava Bohinjka, isHeadwaterOfLongestRiverInSlovenia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHeadwaterOfLongestRiverInSlovenia Context triple: [Sava Bohinjka, isHeadwaterOfLongestRiverInSlovenia, true]
-
A.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
-
B.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
C.
hasHeadwatersIn
Indicates that the source or origin of a river, stream, or similar watercourse is located within a specified geographic area or feature.
-
D.
hasLongestRiver
Indicates that one entity possesses or contains the river that is longer than any other river associated with the compared entities.
-
E.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:10 a.m.