Triple
T25307931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powerball |
E634530
|
entity |
| Predicate | largestJackpotWinningState |
P159099
|
FINISHED |
| Object | California |
—
|
NE NERFINISHED |
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: California | Statement: [Powerball, largestJackpotWinningState, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestJackpotWinningState Context triple: [Powerball, largestJackpotWinningState, California]
-
A.
largestStateByPopulation
Indicates that the subject is the state with the highest population among a specified set of states or within a given region.
-
B.
capitalOfAwardingState
Indicates that a location is the capital city of the state that granted or conferred a particular award.
-
C.
stateMostEvidentIn
Indicates that a condition, feature, or phenomenon is most clearly or prominently manifested within a particular state or region.
-
D.
largestStateByArea
Indicates that a state is the one with the greatest land area within a specified set or region.
-
E.
foundingState
Indicates that a state or entity played a primary role in establishing or creating another organization, institution, or political entity.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:25 p.m.