Triple
T27047031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Thoughts |
E684665
|
entity |
| Predicate | crossCulturalContext |
P25798
|
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: [Night Thoughts, crossCulturalContext, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossCulturalContext Context triple: [Night Thoughts, crossCulturalContext, yes]
-
A.
culturalInteraction
chosen
Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
-
B.
culturalVariation
Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
-
C.
centralToCultureOf
Indicates that something is a core, defining, and influential element within the culture of a particular group or society.
-
D.
originatedInCulturalContext
Indicates that something began, developed, or was created within a particular cultural setting, tradition, or milieu.
-
E.
culturalEmphasis
Indicates that a culture, group, or context places particular importance or priority on a specific value, practice, or domain.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 8:11 a.m.