Triple
T7945070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguayan Primera División |
E184478
|
entity |
| Predicate | professionalClubsLocationConcentration |
P71855
|
FINISHED |
| Object | mainly Montevideo |
—
|
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: mainly Montevideo | Statement: [Uruguayan Primera División, professionalClubsLocationConcentration, mainly Montevideo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalClubsLocationConcentration Context triple: [Uruguayan Primera División, professionalClubsLocationConcentration, mainly Montevideo]
-
A.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
B.
refersToClubBasedAt
Indicates that one entity makes reference to or is associated with a club that is based at a specified location or organization.
-
C.
mostTeamsBasedIn
chosen
Indicates that the majority of a group’s teams are primarily located or headquartered in a specified place.
-
D.
otherProminentClub
Indicates a relationship where an entity is associated with another club that is also notable or high-profile, distinct from its primary or main club.
-
E.
eligibleClubs
Indicates that certain clubs meet the required criteria or conditions to qualify for a specified status, activity, or benefit.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b285d3881909b2ac0b395538a8a |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.