Triple
T28590860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Buddha of Kamakura |
E723638
|
entity |
| Predicate | currentSetting |
P192639
|
FINISHED |
| Object | outdoors |
—
|
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: outdoors | Statement: [Great Buddha of Kamakura, currentSetting, outdoors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentSetting Context triple: [Great Buddha of Kamakura, currentSetting, outdoors]
-
A.
currentPreference
Indicates the option, choice, or setting that an entity presently favors over alternatives at this moment in time.
-
B.
indicatedSetting
Indicates that one entity specifies, denotes, or points out a particular setting or configuration associated with another entity.
-
C.
coversSetting
Indicates that one entity includes or addresses a particular setting or context within its scope.
-
D.
currentUnder
Indicates that one entity is presently subordinate to, governed by, or under the authority, control, or influence of another entity.
-
E.
currentFeature
Indicates that an entity is the feature or functionality that is presently active, selected, or in focus within a given context.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 28, 2026, 4:20 a.m.