Triple
T37461028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y’Shaarj, Rage Unbound |
E930915
|
entity |
| Predicate | cardTextKeyword |
P189156
|
FINISHED |
| Object | End of Turn |
—
|
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: End of Turn | Statement: [Y’Shaarj, Rage Unbound, cardTextKeyword, End of Turn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardTextKeyword Context triple: [Y’Shaarj, Rage Unbound, cardTextKeyword, End of Turn]
-
A.
cardText
Indicates that one entity is the textual content displayed on a card associated with another entity.
-
B.
keywordText
chosen
Indicates that a piece of text functions as a keyword associated with an entity or resource.
-
C.
cardTextType
Indicates the type or category of textual content associated with a card (e.g., title, body text, caption, or label).
-
D.
cardEffect
Indicates that one card produces a specific effect or outcome on another entity or the game state.
-
E.
legalCardsFrom
Indicates that the referenced cards are permitted or valid according to the rules or constraints defined by the specified source or authority.
- 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_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:17 p.m.