Triple
T35528346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian–Croatian border |
E1026730
|
entity |
| Predicate | hasBorderLake |
P17985
|
FINISHED |
| Object | Lake Bled area (near but not on main line) |
—
|
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: Lake Bled area (near but not on main line) | Statement: [Slovenian–Croatian border, hasBorderLake, Lake Bled area (near but not on main line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderLake Context triple: [Slovenian–Croatian border, hasBorderLake, Lake Bled area (near but not on main line)]
-
A.
bordersLake
Indicates that one entity is directly adjacent to and shares a boundary with a lake.
-
B.
hasNearbyLake
chosen
Indicates that one entity is located close to or in the vicinity of a lake.
-
C.
hasLakeRegion
Indicates that a place or geographic area includes or is associated with a specific lake region.
-
D.
hasNearbyLakeRegion
Indicates that one region is located close to a lake or lake-dominated area.
-
E.
hasLakes
Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:04 p.m.