Triple
T9355757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deer Valley Resort ski lifts |
E225133
|
entity |
| Predicate | alsoOperatesInSeason |
P26656
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Deer Valley Resort ski lifts, alsoOperatesInSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoOperatesInSeason Context triple: [Deer Valley Resort ski lifts, alsoOperatesInSeason, summer]
-
A.
alsoOperatesIn
chosen
Indicates that an entity, in addition to its primary location or domain, conducts operations or activities in another specified place or context.
-
B.
usedInSeason
Indicates that something (such as an item, strategy, or element) is utilized or appears within a particular season.
-
C.
hasSeasonalParticipationIn
Indicates that an entity takes part in or is involved with another entity only during specific seasons or recurring seasonal periods.
-
D.
playsInSeason
Indicates that an entity participates or performs in a specific season of an ongoing series, competition, or event.
-
E.
occurredInSeason
Indicates that an event or occurrence took place during a specific season within a temporal sequence (such as a TV show season or sports season).
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f99205c8190a5ad95926ef25497 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.