Triple
T37598559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State Route 410 |
E935459
|
entity |
| Predicate | closedInWinterAt |
P105428
|
FINISHED |
| Object | Chinook Pass |
—
|
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: Chinook Pass | Statement: [Washington State Route 410, closedInWinterAt, Chinook Pass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedInWinterAt Context triple: [Washington State Route 410, closedInWinterAt, Chinook Pass]
-
A.
seasonallyClosedDueTo
Indicates that access to or operation of something is temporarily halted during specific seasons because of particular conditions or regulations.
-
B.
closedCityDuring
Indicates that a city is not accessible or operational during a specified time period or interval.
-
C.
isOftenClosedInSeason
chosen
Indicates that something, such as a place or facility, is frequently not open or available during a particular season.
-
D.
closedOrSnowCoveredIn
Indicates that something is either closed or covered by snow within a specified location or area.
-
E.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 3, 2026, 4:18 p.m.