Triple
T11331979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosso |
E268365
|
entity |
| Predicate | clubIsOneOfMostSuccessfulInCountry |
P8327
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bosso, clubIsOneOfMostSuccessfulInCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubIsOneOfMostSuccessfulInCountry Context triple: [Bosso, clubIsOneOfMostSuccessfulInCountry, true]
-
A.
isOneOfMostSuccessfulClubsIn
chosen
Indicates that a club ranks among the most successful clubs within a specified group, region, or competition context.
-
B.
mostSuccessfulClubCountry
Indicates that a given country is the one whose clubs have achieved the greatest overall success, typically measured by titles or performance, in a specified competition or context.
-
C.
mostSuccessfulClub
Indicates that one club holds the highest level of success (e.g., by titles, achievements, or performance) compared to all other clubs in the given context.
-
D.
isOneOfMostPopularClubsIn
Indicates that a club ranks among the most popular clubs within a specified place or context.
-
E.
isOneOfMostSuccessfulTeamsIn
Indicates that a team ranks among the most successful teams within a specified group, context, or location.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fd38308190a5458be1bfcc89ea |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.