Triple
T35245550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNIFFAC U-17 tournaments |
E1017647
|
entity |
| Predicate | memberAssociationRegion |
P176857
|
FINISHED |
| Object | Cameroon |
—
|
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: Cameroon | Statement: [UNIFFAC U-17 tournaments, memberAssociationRegion, Cameroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberAssociationRegion Context triple: [UNIFFAC U-17 tournaments, memberAssociationRegion, Cameroon]
-
A.
regionOfAssociation
Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
-
B.
subRegionalMembership
chosen
Indicates that an entity belongs to or is a member of a specific subregional grouping within a larger region or organization.
-
C.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
-
D.
nativeRegionOfMembers
Indicates the geographic region from which the members of a group or organization originally come.
-
E.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 3, 2026, 4:02 p.m.