Triple
T27773886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peer Gynt Suite No. 2 |
E699131
|
entity |
| Predicate | hasVividAtmosphere |
P173703
|
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: [Peer Gynt Suite No. 2, hasVividAtmosphere, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVividAtmosphere Context triple: [Peer Gynt Suite No. 2, hasVividAtmosphere, yes]
-
A.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
B.
hasVillageAtmosphere
Indicates that a place possesses the qualities and feel of a small, close-knit village environment.
-
C.
hasTraditionalAtmosphere
Indicates that something possesses a classic, customary, or historically rooted ambiance or mood, often reflecting long-established cultural or social practices.
-
D.
hasAtmosphericFeature
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
E.
hasAtmosphericArrangement
Indicates that one entity possesses or exhibits a particular configuration or structure of atmospheric components or layers in relation to another entity or defined standard.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 27, 2026, 5:04 p.m.