Triple
T2602497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States and Canada |
E58376
|
entity |
| Predicate | hasSportingTies |
P33119
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [United States and Canada, hasSportingTies, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportingTies Context triple: [United States and Canada, hasSportingTies, yes]
-
A.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
B.
hasHistoricalTieTo
Indicates a relationship where one entity is historically connected or linked to another through past events, associations, or influences.
-
C.
relationshipTypeWithSport
chosen
Indicates the specific type or nature of the relationship an entity has with a particular sport (e.g., participation, affiliation, or role).
-
D.
hasMajorSport
Indicates that an entity is associated with or participates in a primary or most prominent sport.
-
E.
sportingAssociation
Indicates a formal relationship in which an organization serves as a governing, organizing, or affiliating body for sports activities, teams, or events.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.