Triple
T20589884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Substitutiary Locomotion |
E505889
|
entity |
| Predicate | fictionalEffect |
P123162
|
FINISHED |
| Object | causes objects to move on their own |
—
|
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: causes objects to move on their own | Statement: [Substitutiary Locomotion, fictionalEffect, causes objects to move on their own]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalEffect Context triple: [Substitutiary Locomotion, fictionalEffect, causes objects to move on their own]
-
A.
fictionalUse
Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
-
B.
fictionalOutcome
chosen
Indicates that an event, action, or situation leads to a result that occurs only within a fictional, imagined, or non-real context.
-
C.
narrativeEffect
Indicates how one event, action, or element in a story influences the progression, tone, or interpretation of the overall narrative.
-
D.
hasFictionalFunction
Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
-
E.
fictionalizationOf
Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
- 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.