Triple
T11893343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timão |
E282972
|
entity |
| Predicate | associatedClubType |
P19215
|
FINISHED |
| Object | professional football club |
—
|
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: professional football club | Statement: [Timão, associatedClubType, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubType Context triple: [Timão, associatedClubType, professional football club]
-
A.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
B.
associatedClubOwner
Indicates that there is an ownership or proprietorship relationship between a club and its associated owner.
-
C.
refersToClubType
chosen
Indicates that one entity is associated with or designates a particular type or category of club.
-
D.
associatedWithFootballClub
Indicates that there is a relationship of affiliation or connection between an entity and a football club.
-
E.
supportedClub
Indicates that one entity has given their backing, endorsement, or assistance to a particular club.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.