Triple
T16991468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christy Ring |
E412202
|
entity |
| Predicate | numberOfCountyClubChampionshipMedalsWithGlenRovers |
P126078
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Christy Ring, numberOfCountyClubChampionshipMedalsWithGlenRovers, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCountyClubChampionshipMedalsWithGlenRovers Context triple: [Christy Ring, numberOfCountyClubChampionshipMedalsWithGlenRovers, 14]
-
A.
SANFLPremierships
Indicates the number of South Australian National Football League premiership titles an entity has won.
-
B.
numberOfFACupWinsWithClub
Indicates the number of FA Cup titles an entity has won while associated with a specific club.
-
C.
AFLChampionshipWin
Indicates that a team has won the championship title in the Australian Football League (AFL) for a given season or event.
-
D.
SANFLTeamNickname
Indicates that a particular nickname is used to refer to a specific team in the South Australian National Football League (SANFL).
-
E.
AustraliaCupTitles
Indicates the number of Australia Cup titles a team or 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.