Triple
T9728641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Clippers |
E235678
|
entity |
| Predicate | partOfSportSystem |
P85906
|
FINISHED |
| Object | American soccer |
—
|
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: American soccer | Statement: [Oakland Clippers, partOfSportSystem, American soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSportSystem Context triple: [Oakland Clippers, partOfSportSystem, American soccer]
-
A.
isInSportSystemOf
chosen
Indicates that one entity belongs to, is organized within, or operates under the structure of a particular sport system or sports organizational framework of another entity.
-
B.
basedInSport
Indicates that an entity (such as a team, organization, or person) is primarily associated with or operates within a particular sport.
-
C.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
D.
representsInSport
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
-
E.
sportClassificationSystem
Indicates a system or scheme used to categorize and organize sports into defined types, groups, or classes based on shared characteristics or rules.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eafa3a88190bc62924d94b89cd8 |
completed | April 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:21 p.m.