Triple
T2547277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trigger, Jr. |
E57933
|
entity |
| Predicate | trainedFor |
P22559
|
FINISHED |
| Object | trick riding |
—
|
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: trick riding | Statement: [Trigger, Jr., trainedFor, trick riding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainedFor Context triple: [Trigger, Jr., trainedFor, trick riding]
-
A.
trainedAs
chosen
Indicates that one entity has received education or instruction to perform the role, profession, or function represented by another entity.
-
B.
hasTrained
Indicates that one entity has provided training or instruction to another entity.
-
C.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
D.
trainingLeadsTo
Indicates that a process of training results in or brings about a particular outcome, state, or effect.
-
E.
trainingDomain
Indicates that an entity is associated with or operates within a particular field, area, or domain of training.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.