Triple
T34822698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ballack |
E1003828
|
entity |
| Predicate | clubHonoursWithChelseaFC |
P165129
|
FINISHED |
| Object | FA Cup titles |
—
|
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: FA Cup titles | Statement: [Michael Ballack, clubHonoursWithChelseaFC, FA Cup titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubHonoursWithChelseaFC Context triple: [Michael Ballack, clubHonoursWithChelseaFC, FA Cup titles]
-
A.
clubHonoursWith
chosen
Indicates a relationship where a club is associated with specific honours or titles it has achieved or been awarded.
-
B.
leagueChampionships
Indicates the number of league championship titles an entity has won.
-
C.
winningClubTrophyCountFA Cup
Indicates the number of FA Cup trophies that a particular club has won.
-
D.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
-
E.
previousFAcupTitleForChelsea
Indicates that the subject is the FA Cup title immediately preceding the specified FA Cup title won by Chelsea.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.