Triple
T34537854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAS |
E886718
|
entity |
| Predicate | sportLeague |
P888
|
FINISHED |
| Object | CFL |
—
|
NE NERFINISHED |
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: CFL | Statement: [SAS, sportLeague, CFL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportLeague Context triple: [SAS, sportLeague, CFL]
-
A.
leagueSport
Indicates that a particular sport is the official or primary sport associated with a given league.
-
B.
sportsLevel
Indicates the degree or intensity of involvement, skill, or competitiveness associated with a sport or sporting activity.
-
C.
sportsAssociation
Indicates a formal relationship in which an entity is affiliated with, governed by, or participates under the auspices of a specific sports organization or governing body.
-
D.
league
chosen
Indicates that an organization or team participates in, is a member of, or is associated with a particular sports or competitive league.
-
E.
sportsAllegiance
Indicates a supportive or loyal association an entity has with a particular sports team, organization, or side.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 2:02 a.m.