Triple

T25307912
Position Surface form Disambiguated ID Type / Status
Subject Powerball E634530 entity
Predicate numbersDrawnPowerball P180688 FINISHED
Object 1 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: 1 | Statement: [Powerball, numbersDrawnPowerball, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numbersDrawnPowerball
Context triple: [Powerball, numbersDrawnPowerball, 1]
  • A. numberOfPowerballs
    Indicates the quantity of Powerball items associated with a given entity or event.
  • B. numbersDrawnMain
    Indicates that certain numbers have been selected or drawn as the primary or main set in a drawing or lottery-like process.
  • C. GoldenBallWinner
    Indicates that the subject has been awarded the Golden Ball, recognizing them as the best-performing player in a particular football (soccer) tournament or competition.
  • D. lotteryNumbersSource
    Indicates the origin or provider from which the lottery numbers are obtained or generated.
  • E. numbersDrawnLuckyStars
    Indicates that the specified numbers are the ones selected as the "lucky stars" in a draw or lottery-style event.
  • 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_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
PDg Predicate description generation batch_69f74c6fa6548190b03935f65429a24e completed May 3, 2026, 1:23 p.m.
Created at: April 21, 2026, 1:25 p.m.