Triple
T35402955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West of Scotland Football League |
E1023283
|
entity |
| Predicate | hasMemberClubsCount |
P199355
|
FINISHED |
| Object | dozens of clubs |
—
|
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: dozens of clubs | Statement: [West of Scotland Football League, hasMemberClubsCount, dozens of clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberClubsCount Context triple: [West of Scotland Football League, hasMemberClubsCount, dozens of clubs]
-
A.
hadMemberClubsIn
Indicates that an organization or group possessed member clubs located within a specified place or jurisdiction.
-
B.
memberAssociationCount
Indicates the number of associations or group memberships linked to a given member.
-
C.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
D.
hasMultiClubNetwork
Indicates that an entity is part of, or associated with, a network comprising multiple clubs under common ownership, management, or affiliation.
-
E.
hasClubParticipantsType
Indicates the type or category of participants involved in a club.
- F. None of above. chosen
Provenance (4 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69ff2fb9e46c8190b36b3e0bc84f114c |
completed | May 9, 2026, 12:59 p.m. |
Created at: May 3, 2026, 4:03 p.m.