Triple
T24238872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Dogs |
E603165
|
entity |
| Predicate | clubSuccessContext |
P132900
|
FINISHED |
| Object | one of Romania's most successful football clubs |
—
|
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: one of Romania's most successful football clubs | Statement: [The Red Dogs, clubSuccessContext, one of Romania's most successful football clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubSuccessContext Context triple: [The Red Dogs, clubSuccessContext, one of Romania's most successful football clubs]
-
A.
clubScope
Indicates that something is within the organizational, functional, or contextual scope of a particular club.
-
B.
club
Indicates that an entity is a member of, affiliated with, or participates in the activities of a particular club or organized group.
-
C.
clubState
Indicates that a club is associated with, based in, or officially belongs to a particular state or regional jurisdiction.
-
D.
associatedWithClubSuccess
chosen
Indicates that an entity has a meaningful connection or contribution to the success or achievements of a club.
-
E.
clubBase
Indicates the location or place that serves as the primary base or home venue for a club.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28a9d70288190ac3cd0c78e08aa90 |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:03 a.m.