Triple
T5080339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon |
E114494
|
entity |
| Predicate | cardGameStatistic |
P61161
|
FINISHED |
| Object | tens of billions of trading cards printed |
—
|
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: tens of billions of trading cards printed | Statement: [Pokémon, cardGameStatistic, tens of billions of trading cards printed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardGameStatistic Context triple: [Pokémon, cardGameStatistic, tens of billions of trading cards printed]
-
A.
cardGameAssociatedWith
Indicates that there is a relationship of association between a card game and another entity, such as a person, place, event, or concept.
-
B.
tieGamesCount
Indicates the number of games in a set or series that ended in a tie, with no winner or loser.
-
C.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
D.
scoreAfterPlay
Indicates the numerical score that results immediately after a specific play or action has been completed.
-
E.
championshipWinRate
Indicates the proportion of championships won relative to the total number of championship opportunities or appearances.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73b2c2808190b777e2c2a8a45d3f |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.