Triple
T26228582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroon Lake |
E655965
|
entity |
| Predicate | requiresReservationDuringPeakSeason |
P63486
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Maroon Lake, requiresReservationDuringPeakSeason, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresReservationDuringPeakSeason Context triple: [Maroon Lake, requiresReservationDuringPeakSeason, yes]
-
A.
requiresReservationInPeakSeason
chosen
Indicates that the subject can only be accessed or used during peak season if a reservation has been made in advance.
-
B.
requiresAdvanceReservation
Indicates that access to or participation in something is conditional on securing a reservation ahead of time, rather than at the moment of use.
-
C.
hasPeakVisitationSeason
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
-
D.
requiresPermitDuringSeason
Indicates that performing an activity or accessing a resource during a specified season is conditional on obtaining a permit.
-
E.
allowsReservation
Indicates that one entity permits another entity to make or hold a reservation for its use or access.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 26, 2026, 8:59 p.m.