Triple
T31651675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laureus World Sports Award for Team of the Year |
E807744
|
entity |
| Predicate | hasOrganisingFoundation |
P6873
|
FINISHED |
| Object | Laureus Sport for Good Foundation |
—
|
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: Laureus Sport for Good Foundation | Statement: [Laureus World Sports Award for Team of the Year, hasOrganisingFoundation, Laureus Sport for Good Foundation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganisingFoundation Context triple: [Laureus World Sports Award for Team of the Year, hasOrganisingFoundation, Laureus Sport for Good Foundation]
-
A.
hasOrganizingAssociation
Indicates that an entity is organized, managed, or coordinated by a particular association or organization.
-
B.
foundingOrganization
Indicates the organization that established or created another entity, such as a company, institution, or project.
-
C.
foundedOrganization
Indicates that an entity established or created an organization.
-
D.
hasCharitableFoundation
chosen
Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
-
E.
foundedOrganizationType
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 30, 2026, 10:53 p.m.