Triple
T33194243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfect Game Collegiate Baseball League |
E849703
|
entity |
| Predicate | scoutingDataProvider |
P68722
|
FINISHED |
| Object | Perfect Game USA |
—
|
NE NERFINISHED |
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: Perfect Game USA | Statement: [Perfect Game Collegiate Baseball League, scoutingDataProvider, Perfect Game USA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoutingDataProvider Context triple: [Perfect Game Collegiate Baseball League, scoutingDataProvider, Perfect Game USA]
-
A.
scoutingArea
Indicates that an entity is actively exploring or surveying a specified area, typically to gather information or assess conditions there.
-
B.
scoutingSignificance
Indicates the degree to which an entity’s scouting evaluation or observation is important, impactful, or influential in a given context.
-
C.
scoutedFor
Indicates that one entity has been evaluated or searched out as a potential candidate, resource, or opportunity on behalf of another entity.
-
D.
collectsDataFor
Indicates that one entity gathers or records data on behalf of, or for the benefit of, another entity.
-
E.
providesReferenceDataFor
chosen
Indicates that one entity supplies authoritative or supporting data used as a reference basis for another entity’s operations, analysis, or decisions.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.