Triple
T18902955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Deadly Education |
E462380
|
entity |
| Predicate | magicSystemType |
P19914
|
FINISHED |
| Object | mana-based magic |
—
|
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: mana-based magic | Statement: [A Deadly Education, magicSystemType, mana-based magic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magicSystemType Context triple: [A Deadly Education, magicSystemType, mana-based magic]
-
A.
typeOfMagic
chosen
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
B.
featuresMagicSystem
Indicates that a work includes or is built around a defined system of magic or supernatural powers.
-
C.
magicField
Indicates the presence or influence of a magical force or energy affecting an entity or area.
-
D.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
-
E.
hasMagicSystemElement
Indicates that an entity’s magic system includes or is characterized by a specific elemental component or aspect.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.