Triple
T12722945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akita Kanto Festival |
E304029
|
entity |
| Predicate | lanternLightingTime |
P105838
|
FINISHED |
| Object | after sunset |
—
|
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: after sunset | Statement: [Akita Kanto Festival, lanternLightingTime, after sunset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lanternLightingTime Context triple: [Akita Kanto Festival, lanternLightingTime, after sunset]
-
A.
lightingTime
chosen
Indicates the time at which a lighting event or illumination occurs or is scheduled.
-
B.
hasLanternLightSource
Indicates that an entity uses a lantern as its source of light.
-
C.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
D.
lightPeriod
Indicates the duration or interval during which light is present or active in a given context.
-
E.
expectedFirstLight
Indicates the anticipated time or occurrence of the first appearance of light, such as dawn or initial illumination, in a given context.
- 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_69d7bdf084148190ab9d513dc0735af4 |
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_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.