Triple
T24587640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcestershire County Cricket Club |
E608440
|
entity |
| Predicate | countyChampionshipTitles |
P156459
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Worcestershire County Cricket Club, countyChampionshipTitles, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countyChampionshipTitles Context triple: [Worcestershire County Cricket Club, countyChampionshipTitles, 5]
-
A.
nationalCupTitle
Indicates that an entity has won a national-level cup competition title in a given sport or domain.
-
B.
stateChampionship
Indicates that an entity has won or holds a championship title at the state level.
-
C.
zoneChampionship
Indicates that an entity has won or is associated with a championship title within a specific geographic or competitive zone.
-
D.
arenaCupTitles
Indicates the number of Arena Cup championship titles an entity has won.
-
E.
domesticCupTitles
Indicates the number of national (in-country) cup competitions a team or club 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a988393c81909f0292e9b35441d2 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.