Triple
T33612862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murodo Plateau |
E861034
|
entity |
| Predicate | snowCorridorOpeningPeriod |
P93896
|
FINISHED |
| Object | around April to June |
—
|
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: around April to June | Statement: [Murodo Plateau, snowCorridorOpeningPeriod, around April to June]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowCorridorOpeningPeriod Context triple: [Murodo Plateau, snowCorridorOpeningPeriod, around April to June]
-
A.
snowCorridorBestSeason
chosen
Indicates the time of year that is most suitable or optimal for experiencing or using a snow corridor.
-
B.
skiResortOpeningSeason
Indicates the season or time of year during which a ski resort begins its operations and opens to visitors.
-
C.
snowAccess
Indicates that one entity has the ability, permission, or means to access or traverse snow-covered areas in relation to another entity or context.
-
D.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
E.
snowAccumulation
Indicates that snow has collected or built up on a surface or in a location over time.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:41 a.m.