Triple
T11544248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard format (Hearthstone) |
E273742
|
entity |
| Predicate | legalCardsFrom |
P99984
|
FINISHED |
| Object | Core Set |
—
|
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: Core Set | Statement: [Standard format (Hearthstone), legalCardsFrom, Core Set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalCardsFrom Context triple: [Standard format (Hearthstone), legalCardsFrom, Core Set]
-
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.
cardColor
Indicates the color attribute assigned to a card in the relationship.
-
C.
hasNumberOfCards
Indicates that an entity is associated with a specific quantity of cards.
-
D.
hasNotableCardFamily
Indicates that an entity is associated with a specific, distinguished group or family of related cards.
-
E.
hasCardBack
Indicates that an entity possesses or is associated with a specific card back design or reverse side.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.