Triple
T19467865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanabhuk |
E487045
|
entity |
| Predicate | ontologyFocus |
P129410
|
FINISHED |
| Object | substance and qualities |
—
|
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: substance and qualities | Statement: [Kanabhuk, ontologyFocus, substance and qualities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ontologyFocus Context triple: [Kanabhuk, ontologyFocus, substance and qualities]
-
A.
hasMainTaxonomicFocus
Indicates that something (such as a work, study, or resource) primarily concerns or centers on a particular taxon as its main subject of taxonomic focus.
-
B.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
C.
ontologyId
Indicates that there is an association between an entity and a specific ontology identifier that formally defines or classifies it within an ontology.
-
D.
disciplinaryFocus
Indicates the primary academic or professional field, subject area, or discipline that something is centered on or concerned with.
-
E.
hasOntologicalCategory
chosen
Indicates that an entity belongs to, or is classified under, a specific ontological category or type within a conceptual framework.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.