Triple
T33988513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karasawa Cirque |
E871475
|
entity |
| Predicate | photogenicSeason |
P81349
|
FINISHED |
| Object | autumn foliage season |
—
|
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: autumn foliage season | Statement: [Karasawa Cirque, photogenicSeason, autumn foliage season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photogenicSeason Context triple: [Karasawa Cirque, photogenicSeason, autumn foliage season]
-
A.
missPhotogenicWinner
Indicates that an entity is the winner of a Miss Photogenic title or award in a given context.
-
B.
hasPhotogenicFeature
Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
-
C.
bestTimeForPhotography
chosen
Indicates the most suitable or optimal time period for taking photographs, typically based on lighting or environmental conditions.
-
D.
popularSeason
Indicates that a particular season is widely liked, favored, or frequently chosen by many people.
-
E.
surfaceSeason
Indicates the season or time of year during which a surface-related condition, event, or state occurs.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:50 a.m.