Triple
T13395077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sai Masu Gida |
E319682
|
entity |
| Predicate | associatedWithClubLevel |
P47878
|
FINISHED |
| Object | professional football |
—
|
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: professional football | Statement: [Sai Masu Gida, associatedWithClubLevel, professional football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClubLevel Context triple: [Sai Masu Gida, associatedWithClubLevel, professional football]
-
A.
includesClubLevel
Indicates that one entity encompasses or provides access to a specific club-level tier, area, or privileges associated with another entity.
-
B.
relatedToClub
Indicates that there is an association or connection between an entity and a club, without specifying the exact nature of that relationship.
-
C.
associatedClubStatus
Indicates the status or condition of a club as it relates to a particular entity or relationship.
-
D.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
E.
associatedWithCompetitionLevel
chosen
Indicates that something has a relationship to, or is characterized by, a particular level or tier of competition.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.