Triple
T10383775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tateyama Kurobe Alpine Route |
E244706
|
entity |
| Predicate | typicallyOpenToMonth |
P14304
|
FINISHED |
| Object | November |
—
|
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: November | Statement: [Tateyama Kurobe Alpine Route, typicallyOpenToMonth, November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyOpenToMonth Context triple: [Tateyama Kurobe Alpine Route, typicallyOpenToMonth, November]
-
A.
typicalMeetingMonth
Indicates the month in which an entity most commonly or usually holds its meetings.
-
B.
appliesDuringMonths
chosen
Indicates that something is valid, active, or in effect only during specific months of the year.
-
C.
initiallyOpenTo
Indicates that something starts out in an open state or condition at the beginning of a process, period, or interaction.
-
D.
openingDateApproximate
Indicates that the date when something was opened or began is not known exactly and is only an approximate value.
-
E.
openedBetween
Indicates that an entity was opened during a time interval that falls between two specified temporal bounds.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a2aafc8190aa11d14852fa1599 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:04 p.m.