Triple
T35804293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Suwa |
E1035064
|
entity |
| Predicate | OmiwatariIs |
P183695
|
FINISHED |
| Object | ice ridges forming across frozen surface |
—
|
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: ice ridges forming across frozen surface | Statement: [Lake Suwa, OmiwatariIs, ice ridges forming across frozen surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OmiwatariIs Context triple: [Lake Suwa, OmiwatariIs, ice ridges forming across frozen surface]
-
A.
Juyo
Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
-
B.
Vinchu Kata
Indicates a specific martial arts technique or form being performed or applied.
-
C.
祭神の性格
Indicates the characteristic traits or personality attributed to a deity being worshipped.
-
D.
ichinomiya
Indicates a relationship where a location or institution holds the status of "Ichinomiya," the primary or highest-ranking Shinto shrine of a historical province.
-
E.
SakaeIs
Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.