Triple
T34263501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meguro River cherry blossoms |
E879098
|
entity |
| Predicate | bestViewpoints |
P127904
|
FINISHED |
| Object | Nakameguro area |
—
|
NE NERFINISHED |
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: Nakameguro area | Statement: [Meguro River cherry blossoms, bestViewpoints, Nakameguro area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestViewpoints Context triple: [Meguro River cherry blossoms, bestViewpoints, Nakameguro area]
-
A.
bestKnownViewpoints
Indicates that certain viewpoints are the most widely recognized or authoritative perspectives associated with a given subject or entity.
-
B.
towerViews
Indicates that a tower provides a view of, or overlooks, a particular place or object.
-
C.
hasViewingPointFor
chosen
Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
-
D.
isScenicViewpoint
Indicates that a location offers a notable, aesthetically pleasing view of the surrounding landscape.
-
E.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.