Triple
T1245653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Professional Baseball |
E26758
|
entity |
| Predicate | foreignPlayerRosterLimit |
P25944
|
FINISHED |
| Object | 4 active per game |
—
|
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: 4 active per game | Statement: [Nippon Professional Baseball, foreignPlayerRosterLimit, 4 active per game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignPlayerRosterLimit Context triple: [Nippon Professional Baseball, foreignPlayerRosterLimit, 4 active per game]
-
A.
teamRosterLimit
Indicates the maximum number of members that are allowed to be on a team’s roster.
-
B.
allowsForeignPlayers
Indicates that an entity permits participation or involvement by players who are from foreign countries or outside its primary jurisdiction.
-
C.
allowsOveragePlayers
Indicates that a context, rule, or system permits participation or inclusion of players who exceed a specified age limit.
-
D.
allowedNBAPlayersFrom
Indicates that certain NBA players are permitted or eligible to come from a specified source, such as a team, region, or category.
-
E.
usesSalaryCap
Indicates that an entity applies or operates under a salary cap constraint when managing compensation or payroll.
- F. None of above. chosen
Provenance (4 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf65c41c8190b4c65e015d1264c0 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bce611ec819092cb13d354d0903e |
completed | March 1, 2026, 10:25 p.m. |
Created at: March 1, 2026, 7:47 p.m.