Triple
T20589895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Substitutiary Locomotion |
E505889
|
entity |
| Predicate | fictionalDiscipline |
P87724
|
FINISHED |
| Object | witchcraft |
—
|
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: witchcraft | Statement: [Substitutiary Locomotion, fictionalDiscipline, witchcraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalDiscipline Context triple: [Substitutiary Locomotion, fictionalDiscipline, witchcraft]
-
A.
fictionalScientificField
Indicates that an entity is associated with a scientific field that exists only in fiction rather than in real-world science.
-
B.
fictionalEducation
Indicates that one entity has an educational background, training, or schooling that exists only within a fictional or imaginary context relative to another entity.
-
C.
fictionalGenre
Indicates that a work of fiction belongs to or is categorized under a particular narrative genre or style.
-
D.
fictionalField
chosen
Indicates that the subject is associated with a fictional or imaginary field, domain, or area rather than a real-world one.
-
E.
fictionalInvention
Indicates that one entity is an invention or creation that exists only within the fictional context of another entity (such as a story, universe, or work).
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a979e4a48190a948165fb0f3b265 |
completed | April 20, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:40 a.m.