Triple
T2316660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League Championship Series |
E51079
|
entity |
| Predicate | sportTier |
P36085
|
FINISHED |
| Object | top level |
—
|
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: top level | Statement: [League Championship Series, sportTier, top level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportTier Context triple: [League Championship Series, sportTier, top level]
-
A.
athleticAssociationTier
Indicates the competitive level or division within an athletic association to which an entity (such as a team or institution) belongs.
-
B.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
C.
sportsTeamLevel
chosen
Indicates the competitive tier or division in which a sports team participates within an organized league or system.
-
D.
sportsTenant
Indicates that one entity occupies or uses a sports facility or venue as a tenant under some form of agreement or arrangement.
-
E.
sportNumber
Indicates the specific jersey or uniform number associated with an athlete in a sporting context.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.