Triple
T17017523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeouido Park |
E412860
|
entity |
| Predicate | hasCherryBlossomViewing |
P125521
|
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: [Yeouido Park, hasCherryBlossomViewing, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCherryBlossomViewing Context triple: [Yeouido Park, hasCherryBlossomViewing, yes]
-
A.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
B.
hasSummitViewsOf
Indicates that from the summit of one location, there are views overlooking or directed toward another location.
-
C.
hasSummitViewsVia
Indicates a relationship where one location offers views of a summit when accessed or observed via a particular route, vantage point, or intermediary location.
-
D.
hasPrefecturalFlower
Indicates that a particular prefecture is associated with a designated official flower.
-
E.
hasNightViewSpot
Indicates that a location offers a suitable vantage point for viewing the scenery or cityscape at night.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.