Triple
T22146590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay Hazare Trophy |
E547302
|
entity |
| Predicate | mostSuccessfulTeamsCount |
P147160
|
FINISHED |
| Object | multiple teams have won the title |
—
|
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: multiple teams have won the title | Statement: [Vijay Hazare Trophy, mostSuccessfulTeamsCount, multiple teams have won the title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostSuccessfulTeamsCount Context triple: [Vijay Hazare Trophy, mostSuccessfulTeamsCount, multiple teams have won the title]
-
A.
qualifiedTeamsCount
Indicates the number of teams that have successfully met the criteria to qualify for a given stage, event, or competition.
-
B.
isOneOfMostSuccessfulTeamsIn
Indicates that a team ranks among the most successful teams within a specified group, context, or location.
-
C.
anotherSuccessfulTeam
Indicates that one team is distinct from and also meets the criteria for being considered a successful team, in relation to another referenced team.
-
D.
eraOfTeamSuccess
Indicates a period during which a particular team experienced notable or sustained success.
-
E.
mostSuccessfulClub
Indicates that one club holds the highest level of success (e.g., by titles, achievements, or performance) compared to all other clubs in the given context.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f097248190a8a3cdff1593b5b5 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:33 p.m.