Triple
T4975163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourth Division |
E111746
|
entity |
| Predicate | numberOfClubsTypical |
P41025
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Fourth Division, numberOfClubsTypical, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfClubsTypical Context triple: [Fourth Division, numberOfClubsTypical, 24]
-
A.
sportNumberOfClubs
chosen
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
B.
memberClubsType
Indicates that an entity is associated as a member with clubs of a specified type or category.
-
C.
closureOfClubs
Indicates that a situation or event results in the shutting down or discontinuation of operations of one or more clubs.
-
D.
involvesClub
Indicates that an action, event, or relationship includes or is associated with a specific club as a participating entity.
-
E.
includesAmateurClubs
Indicates that something (such as an organization, competition, or structure) contains or encompasses amateur-level clubs as part of it.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.