Triple
T28745128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Branco-ES |
E731349
|
entity |
| Predicate | associationFootballClubType |
P15893
|
FINISHED |
| Object | men's 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: men's football club | Statement: [Rio Branco-ES, associationFootballClubType, men's football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associationFootballClubType Context triple: [Rio Branco-ES, associationFootballClubType, men's football club]
-
A.
associationFootballClub
chosen
Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
-
B.
associationFootballClubIn
Indicates that an association football (soccer) club is located in or based in a specified place or region.
-
C.
associationFootballTeamOf
Indicates that one entity is the association football (soccer) team to which the other entity belongs or is affiliated.
-
D.
associationFootballCode
Indicates that there is a specific code or rule set of association football that governs or characterizes the related entity.
-
E.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_6a01c5c5dbb881909b19ba87a7760ee7 |
completed | May 11, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_6a01c549af98819098e0effd775b7710 |
completed | May 11, 2026, 12:02 p.m. |
Created at: April 28, 2026, 6:04 a.m.