Triple
T7970964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FastPass+ |
E185320
|
entity |
| Predicate | reservationLimitAtLaunch |
P79398
|
FINISHED |
| Object | 3 advance selections per day in one park |
—
|
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: 3 advance selections per day in one park | Statement: [FastPass+, reservationLimitAtLaunch, 3 advance selections per day in one park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservationLimitAtLaunch Context triple: [FastPass+, reservationLimitAtLaunch, 3 advance selections per day in one park]
-
A.
rideLimit
Indicates a constraint on the maximum number, duration, or frequency of rides permitted for an entity.
-
B.
hasLimitation
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
C.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
D.
initialAvailability
chosen
Indicates the starting level or state of availability of an entity before any changes or updates occur.
-
E.
demographicRestriction
Indicates that participation, access, or applicability is limited or conditioned based on specific demographic characteristics (such as age, gender, ethnicity, or similar attributes).
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd304dc8190b9feee5e17fc66db |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.