Triple
T30131707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shatsky National Nature Park |
E765861
|
entity |
| Predicate | hasHighestLake |
P106354
|
FINISHED |
| Object | Lake Svityaz |
—
|
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: Lake Svityaz | Statement: [Shatsky National Nature Park, hasHighestLake, Lake Svityaz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestLake Context triple: [Shatsky National Nature Park, hasHighestLake, Lake Svityaz]
-
A.
isAmongLargestHighAltitudeLakes
Indicates that a lake ranks among the largest lakes located at high altitudes.
-
B.
highestLakeName
chosen
Indicates the name of the lake that is at the greatest elevation (or highest point) within a given area or context.
-
C.
isHighAltitudeLake
Indicates that a lake is situated at a relatively high elevation above sea level.
-
D.
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.
-
E.
isDeepestLakeOf
Indicates that a lake is the deepest one within a specified geographic area or entity.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 29, 2026, 7:15 p.m.