Triple
T443145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International League |
E10156
|
entity |
| Predicate | teamRosterSize |
P3190
|
FINISHED |
| Object | similar to MLB active roster size |
—
|
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: similar to MLB active roster size | Statement: [International League, teamRosterSize, similar to MLB active roster size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamRosterSize Context triple: [International League, teamRosterSize, similar to MLB active roster size]
-
A.
teamRosterLimit
Indicates the maximum number of members that are allowed to be on a team’s roster.
-
B.
rosterSizeRegularSeason
chosen
Indicates the number of players a team is allowed or has on its roster during the regular season.
-
C.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
D.
team1FullName
Indicates the complete official name associated with the first team in a given context or comparison.
-
E.
teamName
Indicates the relationship that assigns or associates a specific name with a particular team.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef43e8f88190a5d368add11a38c0 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.