Triple
T12690288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Rila Lakes |
E303185
|
entity |
| Predicate | lowestLakeName |
P106356
|
FINISHED |
| Object | Dolnoto ezero |
—
|
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: Dolnoto ezero | Statement: [Seven Rila Lakes, lowestLakeName, Dolnoto ezero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestLakeName Context triple: [Seven Rila Lakes, lowestLakeName, Dolnoto ezero]
-
A.
maximumLake
Indicates that the subject entity is the lake with the greatest value (such as size, volume, or another specified measure) among a given set of lakes.
-
B.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
C.
mouthLake
Indicates the location where a river or stream flows into and forms part of a lake.
-
D.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
E.
partlyBelowSeaLevel
Indicates that an entity’s elevation is such that some, but not all, of it lies below sea level.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96297b81c819081ad1432dc5f15f4 |
completed | April 10, 2026, 8:50 p.m. |
Created at: April 9, 2026, 5:22 p.m.