Triple
T24134890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitakami, Iwate |
E598055
|
entity |
| Predicate | hasCherryBlossomViewingSpot |
P125521
|
FINISHED |
| Object | Tenshochi Park |
—
|
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: Tenshochi Park | Statement: [Kitakami, Iwate, hasCherryBlossomViewingSpot, Tenshochi Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCherryBlossomViewingSpot Context triple: [Kitakami, Iwate, hasCherryBlossomViewingSpot, Tenshochi Park]
-
A.
hasCherryBlossomViewing
chosen
Indicates that an entity engages in or offers the activity of viewing cherry blossoms.
-
B.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
C.
hasSights
Indicates that an entity possesses or features notable sights, attractions, or points of interest.
-
D.
hasScenicViewpoints
Indicates that something includes or provides locations specifically intended for enjoying scenic or panoramic views.
-
E.
hasNightViewSpot
Indicates that a location offers a suitable vantage point for viewing the scenery or cityscape at night.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7b6e9c819097fb546efa35821b |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:26 p.m.