Triple
T5279024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkshire County Cricket Club |
E119443
|
entity |
| Predicate | wonCountyChampionshipTitles |
P25122
|
FINISHED |
| Object | 30+ (outright and shared) |
—
|
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: 30+ (outright and shared) | Statement: [Yorkshire County Cricket Club, wonCountyChampionshipTitles, 30+ (outright and shared)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonCountyChampionshipTitles Context triple: [Yorkshire County Cricket Club, wonCountyChampionshipTitles, 30+ (outright and shared)]
-
A.
winnerTitleCount
chosen
Indicates the number of titles or championships an entity has won.
-
B.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
C.
associatedChampionshipCount
Indicates the number of championships that are linked or related to a given entity.
-
D.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
E.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.