Triple
T24784421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octavo |
E620079
|
entity |
| Predicate | associatedWithMagicSystem |
P139223
|
FINISHED |
| Object | Discworld wizardry |
—
|
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: Discworld wizardry | Statement: [Octavo, associatedWithMagicSystem, Discworld wizardry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMagicSystem Context triple: [Octavo, associatedWithMagicSystem, Discworld wizardry]
-
A.
associatedWithMagicType
Indicates a relationship where something is linked or connected to a particular type or category of magic.
-
B.
hasMagicSystemElement
Indicates that an entity’s magic system includes or is characterized by a specific elemental component or aspect.
-
C.
associatedMystic
Indicates a relationship where one entity is linked or connected to another through a mystical, spiritual, or esoteric association.
-
D.
relationshipWithMagic
chosen
Indicates a connection or interaction an entity has with magic, such as using, being affected by, or being inherently tied to magical forces.
-
E.
usesMagicFor
Indicates that one entity employs or applies magic as a means to achieve, affect, or perform something involving another entity or context.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 18, 2026, 4:45 a.m.