Triple
T12215515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic 7-Day Pass |
E291072
|
entity |
| Predicate | maximumDaysOfUsePerSeason |
P103836
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Epic 7-Day Pass, maximumDaysOfUsePerSeason, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDaysOfUsePerSeason Context triple: [Epic 7-Day Pass, maximumDaysOfUsePerSeason, 7]
-
A.
typicalUseDays
Indicates the usual or expected number of days over which something is used or intended to be used.
-
B.
usedForSeasonRange
Indicates the span of seasons or time period during which something is intended or suitable to be used.
-
C.
hasSeasonLength
Indicates that one entity has a specified duration or length for its season.
-
D.
minimumSessionsPerYear
Indicates the smallest number of sessions that must occur within a one-year period.
-
E.
typicalNumberOfStopsPerSeason
Indicates the usual or average count of stops that occur in a single 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.