Triple
T30363372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bald Mountain Pass |
E772350
|
entity |
| Predicate | roadClosedSeason |
P10162
|
FINISHED |
| Object | typically winter due to snow |
—
|
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: typically winter due to snow | Statement: [Bald Mountain Pass, roadClosedSeason, typically winter due to snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadClosedSeason Context triple: [Bald Mountain Pass, roadClosedSeason, typically winter due to snow]
-
A.
roadClosedIn
Indicates that a specific road is closed within a particular location or during a specified time or context.
-
B.
roadAccessSeason
chosen
Indicates the time of year or season during which road access to a place or area is available or permitted.
-
C.
roadClosedReason
Indicates the reason why a particular road is closed.
-
D.
hasSeasonalIceRoads
Indicates that temporary roads made of or over ice are available in certain seasons connecting the related entities.
-
E.
closedToAllTraffic
Indicates that the subject is not accessible or usable by any type of traffic.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6827e194481908018f91cbff12bc2 |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:58 p.m.