Triple
T27544102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Football League |
E695312
|
entity |
| Predicate | includesClubTypes |
P18795
|
FINISHED |
| Object | company teams |
—
|
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: company teams | Statement: [Japan Football League, includesClubTypes, company teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesClubTypes Context triple: [Japan Football League, includesClubTypes, company teams]
-
A.
includesClubLevel
Indicates that one entity encompasses or provides access to a specific club-level tier, area, or privileges associated with another entity.
-
B.
includesInvitedClubs
Indicates that certain clubs are explicitly included among those invited to participate in a given event or context.
-
C.
appliesToClub
Indicates that something (such as a rule, policy, attribute, or action) is relevant or applicable specifically to a particular club.
-
D.
memberClubsType
chosen
Indicates that an entity is associated as a member with clubs of a specified type or category.
-
E.
clubTypeInvolved
Indicates that a specific type or category of club is involved or participates in the referenced event, activity, or relationship.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 27, 2026, 1:32 p.m.