Triple
T15406779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Shikotsu |
E368477
|
entity |
| Predicate | clarityRanking |
P59486
|
FINISHED |
| Object | among the clearest lakes in Japan |
—
|
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: among the clearest lakes in Japan | Statement: [Lake Shikotsu, clarityRanking, among the clearest lakes in Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clarityRanking Context triple: [Lake Shikotsu, clarityRanking, among the clearest lakes in Japan]
-
A.
rankingScope
chosen
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
B.
canonicalRank
Indicates the standard or officially recognized rank or level assigned to an entity within an ordered hierarchy.
-
C.
rankExamples
Indicates that one entity orders or scores a set of examples relative to each other, typically by relevance, quality, or importance.
-
D.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
E.
depthRank
Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.