Triple
T9644473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salt Lake City–Ogden ski region |
E233157
|
entity |
| Predicate | typicalClosing |
P89412
|
FINISHED |
| Object | April |
—
|
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: April | Statement: [Salt Lake City–Ogden ski region, typicalClosing, April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalClosing Context triple: [Salt Lake City–Ogden ski region, typicalClosing, April]
-
A.
typicalConclusion
Indicates that one entity is the usual or expected outcome, result, or ending that follows from another entity or situation.
-
B.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
C.
closingStimulus
Indicates that one entity serves as the stimulus or trigger that causes another entity to close or become closed.
-
D.
closingTheme
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
E.
closingPosition
Indicates that an entity terminates, finalizes, or brings to an end the position or state of another entity.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7fd2308190803a196ecdc80d76 |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:12 p.m.