Triple
T37388940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballade van die grysland |
E928649
|
entity |
| Predicate | engagesWithLocalThemes |
P78619
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ballade van die grysland, engagesWithLocalThemes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagesWithLocalThemes Context triple: [Ballade van die grysland, engagesWithLocalThemes, true]
-
A.
culturalThemes
chosen
Indicates that there is a relationship between entities where one embodies, expresses, or is associated with particular cultural themes present in or derived from the other.
-
B.
hasLocalCult
Indicates that an entity is associated with a cult or worship practice that is specific to a particular locality or region.
-
C.
hasLocalCommunities
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
-
D.
hasCulturalFocusOn
Indicates that an entity is primarily concerned with, oriented toward, or thematically centered on a particular culture or cultural aspect.
-
E.
areaTheme
Indicates that a particular theme, topic, or subject is associated with or characterizes a given area or region.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.