Triple
T23639285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dome Fuji Station |
E583839
|
entity |
| Predicate | winterOverCapability |
P38722
|
FINISHED |
| Object | limited or none in most years |
—
|
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: limited or none in most years | Statement: [Dome Fuji Station, winterOverCapability, limited or none in most years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterOverCapability Context triple: [Dome Fuji Station, winterOverCapability, limited or none in most years]
-
A.
winterAccessMode
Indicates how access to something is configured, permitted, or restricted specifically during the winter season.
-
B.
winterStatus
chosen
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
C.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
D.
winterSession
Indicates that an event, course, or activity takes place during a designated winter academic or seasonal session.
-
E.
winterForageDependsOn
Indicates that the availability or quality of winter forage is contingent upon, or influenced by, another factor or resource.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b27fc22c8190abda7398b9fb928c |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:48 p.m.