Triple
T15978293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuba peoples |
E387505
|
entity |
| Predicate | hasNotableDocumentation |
P40966
|
FINISHED |
| Object | photographs by Leni Riefenstahl |
—
|
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: photographs by Leni Riefenstahl | Statement: [Nuba peoples, hasNotableDocumentation, photographs by Leni Riefenstahl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableDocumentation Context triple: [Nuba peoples, hasNotableDocumentation, photographs by Leni Riefenstahl]
-
A.
hasLimitedDocumentation
Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
-
B.
hasNotableDocument
chosen
Indicates that an entity is associated with a document that is considered significant, noteworthy, or of particular importance.
-
C.
hasDocumentationAt
Indicates that something is documented or described in a specific document, file, or location.
-
D.
hasDocumentationStatus
Indicates the current state or condition of documentation associated with an entity, such as whether it exists, is complete, or is up to date.
-
E.
hasNotableUseExample
Indicates that there exists a particularly significant or illustrative example of how something is used.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.