Triple
T28192813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek Cup |
E716360
|
entity |
| Predicate | hasNotableClubParticipant |
P198752
|
FINISHED |
| Object | Panathinaikos B.C. |
—
|
NE NERFINISHED |
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: Panathinaikos B.C. | Statement: [Greek Cup, hasNotableClubParticipant, Panathinaikos B.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableClubParticipant Context triple: [Greek Cup, hasNotableClubParticipant, Panathinaikos B.C.]
-
A.
hasNotableClubGroup
Indicates that an entity is associated with a significant or distinguished club or group.
-
B.
hasPlayedWithClub
Indicates that an individual has been a member of and participated in activities or competitions for a particular club.
-
C.
hasNotableCompetitionLevel
Indicates that an entity is associated with a significant or distinguished level of competition or competitive intensity.
-
D.
hadMemberClubsIn
Indicates that an organization or group possessed member clubs located within a specified place or jurisdiction.
-
E.
hasNotableSportAssociation
Indicates a relationship where an entity is significantly connected to, recognized for, or prominently involved with a particular sport or sports organization.
- F. None of above. chosen
Provenance (4 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
| PDg | Predicate description generation | batch_69ff04901ab081908b68563836fcdc99 |
completed | May 9, 2026, 9:55 a.m. |
Created at: April 27, 2026, 10:26 p.m.