Triple
T24930926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jani Christou |
E618980
|
entity |
| Predicate | compositionalConcept |
P128794
|
FINISHED |
| Object | metapraxis |
—
|
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: metapraxis | Statement: [Jani Christou, compositionalConcept, metapraxis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionalConcept Context triple: [Jani Christou, compositionalConcept, metapraxis]
-
A.
compositionalFeature
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
B.
conceptualAspect
chosen
Indicates that one entity represents an abstract, conceptual, or non-physical aspect, feature, or dimension of another entity.
-
C.
composéDe
Indicates that something is made up of, or consists of, one or more constituent parts.
-
D.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
-
E.
definesComposition
Indicates that one entity specifies or establishes the structural or component makeup of another entity.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:29 a.m.