Triple
T101950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League |
E2057
|
entity |
| Predicate | leagueLevel |
P1906
|
FINISHED |
| Object | major league |
—
|
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: major league | Statement: [American League, leagueLevel, major league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueLevel Context triple: [American League, leagueLevel, major league]
-
A.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
B.
athleticAssociationTier
chosen
Indicates the competitive level or division within an athletic association to which an entity (such as a team or institution) belongs.
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
league
Indicates that an organization or team participates in, is a member of, or is associated with a particular sports or competitive league.
-
E.
leagueContext
Indicates the broader league or competition setting within which the relationship or action takes place.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2563921f8819087f720b1c803579f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.