Triple
T6921709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Baseball Hall of Fame |
E160199
|
entity |
| Predicate | hasInductionCategories |
P15481
|
FINISHED |
| Object | players |
—
|
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: players | Statement: [Japanese Baseball Hall of Fame, hasInductionCategories, players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInductionCategories Context triple: [Japanese Baseball Hall of Fame, hasInductionCategories, players]
-
A.
hasInductionSchedule
Indicates that an entity is associated with a defined plan or timetable for its induction or onboarding process.
-
B.
inductionType
Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
-
C.
hasInstitutionalCategory
Indicates that an entity is classified under a specific institutional type or category within an organizational or institutional framework.
-
D.
hasProgramCategory
Indicates that a program is classified under a specific category or type of program.
-
E.
hasCategoryOn
chosen
Indicates that something is assigned to or associated with a specific category within a given context or scope.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fb8ac48190b50bbc47fad8288f |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.