Triple
T36402823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cork Athletic F.C. |
E896675
|
entity |
| Predicate | faiCupTitleCount |
P185443
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Cork Athletic F.C., faiCupTitleCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faiCupTitleCount Context triple: [Cork Athletic F.C., faiCupTitleCount, 2]
-
A.
faCupTitleWith
Indicates a relationship where an entity holds or is associated with a specific FA Cup title, typically linking a team or individual to the FA Cup championship they have won.
-
B.
CupWinnersCupTitles
Indicates the number of Cup Winners' Cup titles an entity has won.
-
C.
FACupTitles
Indicates the number of FA Cup titles that an entity (typically a football club) has won.
-
D.
hasWonCupTitles
Indicates that an entity has achieved victory in one or more cup-style competitions, resulting in official cup titles.
-
E.
superCupTitles
Indicates the number of Super Cup titles that an entity has won.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.