Triple
T10565225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congo Expedition |
E249330
|
entity |
| Predicate | featuresTheming |
P61999
|
FINISHED |
| Object | African village elements |
—
|
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: African village elements | Statement: [Congo Expedition, featuresTheming, African village elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTheming Context triple: [Congo Expedition, featuresTheming, African village elements]
-
A.
featuresThemeType
Indicates that something (such as a work, event, or item) has or is characterized by a particular type of theme.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
themeExamples
Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
-
D.
graphicsTheme
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
-
E.
hasThemingDetail
chosen
Indicates that something includes or is associated with a specific thematic element, motif, or stylistic detail.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272c32c48190a92c1dacd4deb9fe |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:36 p.m.