Triple
T37463889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega |
E930985
|
entity |
| Predicate | cardTextPattern |
P187875
|
FINISHED |
| Object | Has an extra effect if you have 10 Mana Crystals. |
—
|
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: Has an extra effect if you have 10 Mana Crystals. | Statement: [Omega, cardTextPattern, Has an extra effect if you have 10 Mana Crystals.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardTextPattern Context triple: [Omega, cardTextPattern, Has an extra effect if you have 10 Mana Crystals.]
-
A.
cardTextType
Indicates the type or category of textual content associated with a card (e.g., title, body text, caption, or label).
-
B.
cardText
chosen
Indicates that one entity is the textual content displayed on a card associated with another entity.
-
C.
cardName
Indicates that one entity is the name or title assigned to a specific card entity.
-
D.
cardColor
Indicates the color attribute assigned to a card in the relationship.
-
E.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
- 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_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.