Triple
T37464930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zzeraku the Warped |
E931009
|
entity |
| Predicate | copyLimitPerDeck |
P119620
|
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: [Zzeraku the Warped, copyLimitPerDeck, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyLimitPerDeck Context triple: [Zzeraku the Warped, copyLimitPerDeck, 1]
-
A.
usesMinimumCopiesPerCard
Indicates that there is a constraint specifying the minimum number of copies of each card that must be used or included in a given context.
-
B.
numberOfDecks
Indicates the quantity of decks associated with or contained in an entity.
-
C.
maximumCopiesInStandardPlay
chosen
Indicates the maximum number of copies of a given item or element that are allowed to be used simultaneously in standard play.
-
D.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
-
E.
upperDeckLength
Indicates the length measurement of the upper deck portion of a structure or vehicle.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.