Triple
T12548192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujiko F. Fujio Museum |
E300026
|
entity |
| Predicate | requiresAdvanceReservation |
P105835
|
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: [Fujiko F. Fujio Museum, requiresAdvanceReservation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresAdvanceReservation Context triple: [Fujiko F. Fujio Museum, requiresAdvanceReservation, yes]
-
A.
requiresAdvanceDiningReservation
Indicates that access to the dining experience is contingent on securing a reservation in advance.
-
B.
requiresReservationInPeakSeason
Indicates that the subject can only be accessed or used during peak season if a reservation has been made in advance.
-
C.
allowsReservation
Indicates that one entity permits another entity to make or hold a reservation for its use or access.
-
D.
agingRequirementForRiserva
Indicates that a wine must undergo a specified minimum aging period to qualify for the "Riserva" designation.
-
E.
containsReservation
Indicates that one entity includes or holds a reservation associated with another entity.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:58 p.m.