Triple
T13442307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stripes |
E320394
|
entity |
| Predicate | associatedClubCountryLeague |
P86066
|
FINISHED |
| Object | Polish football league system |
—
|
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: Polish football league system | Statement: [The Stripes, associatedClubCountryLeague, Polish football league system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubCountryLeague Context triple: [The Stripes, associatedClubCountryLeague, Polish football league system]
-
A.
countryOfAssociatedClub
chosen
Indicates the country with which a given club is officially associated or based.
-
B.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
C.
associatedClubStatus
Indicates the status or condition of a club as it relates to a particular entity or relationship.
-
D.
clubManagedCountry
Indicates that a sports club is managed or administered within the jurisdiction of a particular country.
-
E.
associatedClubShortName
Indicates that there is a relationship linking an entity to the abbreviated or short name of a club with which it is associated.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee704ac8190b4c7f4e0d3a88494 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.