Triple
T20126600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariyo Atthangiko Maggo |
E490772
|
entity |
| Predicate | isPathType |
P138781
|
FINISHED |
| Object | gradual training |
—
|
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: gradual training | Statement: [Ariyo Atthangiko Maggo, isPathType, gradual training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPathType Context triple: [Ariyo Atthangiko Maggo, isPathType, gradual training]
-
A.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
B.
hasRouteType
Indicates that there is a specific kind or category of route associated with an entity (e.g., road, rail, bus line).
-
C.
patternTypeWithWhichPathInformation
Indicates a relationship where a pattern type is associated with or characterized by the presence of which-path (which-way) information in an experimental or observational context.
-
D.
isTypeOfDestination
Indicates that one entity serves as a classification or category describing the kind or type of destination that another entity represents.
-
E.
isLineageType
Indicates that one entity represents a type or category within the lineage or ancestral line of another entity.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66743494c81908e63a5efca3aa3ea |
completed | April 20, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:31 p.m.