Triple
T35804292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Suwa |
E1035064
|
entity |
| Predicate | hasTraditionalPhenomenon |
P19423
|
FINISHED |
| Object | Omiwatari |
—
|
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: Omiwatari | Statement: [Lake Suwa, hasTraditionalPhenomenon, Omiwatari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalPhenomenon Context triple: [Lake Suwa, hasTraditionalPhenomenon, Omiwatari]
-
A.
hasTraditionIn
chosen
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
B.
examplePhenomenon
Indicates a representative or illustrative occurrence used to demonstrate or clarify a broader phenomenon or pattern.
-
C.
encounteredPhenomenon
Indicates that an entity has come across, experienced, or observed a particular phenomenon.
-
D.
hasAssociatedPhenomenon
Indicates that one entity is linked to, or typically occurs together with, a particular phenomenon or observable event.
-
E.
hasStageTradition
Indicates that an entity is associated with, follows, or embodies a particular stage or theatrical performance tradition.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:06 p.m.