Triple
T12754903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nezu Shrine |
E304830
|
entity |
| Predicate | chargesEntranceFeeForGarden |
P3997
|
FINISHED |
| Object | yes (seasonal azalea garden) |
—
|
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 (seasonal azalea garden) | Statement: [Nezu Shrine, chargesEntranceFeeForGarden, yes (seasonal azalea garden)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chargesEntranceFeeForGarden Context triple: [Nezu Shrine, chargesEntranceFeeForGarden, yes (seasonal azalea garden)]
-
A.
admissionFee
chosen
Indicates the monetary charge required for entry or participation in a place, event, or activity.
-
B.
gardenAccess
Indicates that one entity is permitted to enter or use a particular garden area.
-
C.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
D.
hasParkAndGardenRegister
Indicates that an entity is recorded in an official register of parks and gardens.
-
E.
hasParkAndGardenGrade
Indicates that an entity has been assigned a specific quality or rating level for its parks and gardens.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.