Triple
T1999000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitney Portal Campground |
E43420
|
entity |
| Predicate | requiresReservation |
P19288
|
FINISHED |
| Object | yes, during peak season |
—
|
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, during peak season | Statement: [Whitney Portal Campground, requiresReservation, yes, during peak season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresReservation Context triple: [Whitney Portal Campground, requiresReservation, yes, during peak season]
-
A.
containsReservation
Indicates that one entity includes or holds a reservation associated with another entity.
-
B.
bookingRequirement
chosen
Indicates that a particular condition, rule, or prerequisite must be satisfied in order to make or confirm a booking.
-
C.
requiresCheckIn
Indicates that one entity must perform a check-in action or be checked in as a prerequisite for another entity, event, or process to proceed.
-
D.
hasReservationPolicy
Indicates that an entity specifies or is governed by a particular policy regarding how reservations are made, managed, or honored.
-
E.
hasReservedSeats
Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.