Triple
T16637067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major League Baseball Draft League |
E404234
|
entity |
| Predicate | draftRelation |
P24663
|
FINISHED |
| Object | pre-MLB Draft evaluation platform |
—
|
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: pre-MLB Draft evaluation platform | Statement: [Major League Baseball Draft League, draftRelation, pre-MLB Draft evaluation platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: draftRelation Context triple: [Major League Baseball Draft League, draftRelation, pre-MLB Draft evaluation platform]
-
A.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
B.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
C.
stageRelation
Indicates a relationship between entities based on their roles, positions, or phases within a staged process or sequence.
-
D.
hasDraftRelationshipWith
chosen
Indicates a provisional or not-yet-finalized relationship exists between two entities.
-
E.
datumRelation
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378ea4b848190bf7c95dad8a855f0 |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.