Triple
T28465979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah State Route 150 |
E720293
|
entity |
| Predicate | seasonallyClosedDueTo |
P179798
|
FINISHED |
| Object | 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: snow | Statement: [Utah State Route 150, seasonallyClosedDueTo, snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonallyClosedDueTo Context triple: [Utah State Route 150, seasonallyClosedDueTo, snow]
-
A.
isOftenClosedInSeason
Indicates that something, such as a place or facility, is frequently not open or available during a particular season.
-
B.
operatedSeasonallyFrom
Indicates that an entity was in operation only during specific seasons or periods within a given timeframe.
-
C.
temporarilyClosedFrom
Indicates that an entity is not accessible or operating for a specific, limited time period starting from a given point.
-
D.
closedCityDuring
Indicates that a city is not accessible or operational during a specified time period or interval.
-
E.
seasonOpeningOrClosing
Indicates that an event marks either the beginning or the end of a particular season.
- F. None of above. chosen
Provenance (4 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_69f01a58a67c819097936d9e8da8d6e6 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 28, 2026, 2:44 a.m.