Triple
T759092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colon Classification |
E16024
|
entity |
| Predicate | classificationApproach |
P19283
|
FINISHED |
| Object | from simple to complex subjects |
—
|
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: from simple to complex subjects | Statement: [Colon Classification, classificationApproach, from simple to complex subjects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationApproach Context triple: [Colon Classification, classificationApproach, from simple to complex subjects]
-
A.
classificationStart
Indicates the point in time or process at which a classification or categorization of an entity begins.
-
B.
classificationSystem
Indicates a relationship where an entity is organized or categorized according to a particular classification scheme or taxonomy.
-
C.
previousClassification
Indicates that one classification precedes another in time or in an ordered sequence of classifications.
-
D.
classificationLevel
Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
-
E.
standardizationApproach
Indicates the method or strategy used to establish, implement, or align with a common standard across entities or processes.
- F. None of above. chosen
Provenance (4 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:37 p.m.