Triple
T30932798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scranton branch |
E788040
|
entity |
| Predicate | primarySettingForSeason |
—
|
GENERATED |
| Object | Season 1 of The Office (U.S.) |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySettingForSeason Context triple: [Scranton branch, primarySettingForSeason, Season 1 of The Office (U.S.)]
-
A.
primarySeasonLocation
Indicates the main geographic location where an entity’s primary season, activity period, or operations take place.
-
B.
primarySettingOf
Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
-
C.
primarySetting
chosen
Indicates that one entity serves as the main or central location, context, or environment in which the other entity’s events or activities primarily take place.
-
D.
settingOfSeason1
Indicates the primary location or environment in which the events of season 1 take place.
-
E.
primarySeasonality
Indicates the main or most characteristic time period or season during which something typically occurs or is most relevant.
- F. None of above.
Provenance (1 batch)
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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:52 p.m.