Triple
T1150382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominican Summer League |
E23661
|
entity |
| Predicate | trainingComponents |
P23937
|
FINISHED |
| Object | on-field instruction |
—
|
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: on-field instruction | Statement: [Dominican Summer League, trainingComponents, on-field instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingComponents Context triple: [Dominican Summer League, trainingComponents, on-field instruction]
-
A.
trainingComponent
chosen
Indicates that one entity functions as a training-related part, module, or element within a larger training process or system involving another entity.
-
B.
trainingSystem
Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
-
C.
training
Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
-
D.
trainingBase
Indicates that one entity serves as the training base, site, or facility where another entity receives training or instruction.
-
E.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.