Triple
T8243061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-World |
E192781
|
entity |
| Predicate | spaceBehavior |
P81106
|
FINISHED |
| Object | space is distorted |
—
|
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: space is distorted | Statement: [Mid-World, spaceBehavior, space is distorted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceBehavior Context triple: [Mid-World, spaceBehavior, space is distorted]
-
A.
shapesBehaviorOf
Indicates that one entity influences, determines, or constrains the way another entity behaves or acts.
-
B.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
C.
spaceType
Indicates the category or kind of physical or conceptual space associated with an entity.
-
D.
limitBehavior
Indicates how an entity behaves or changes as it approaches a specified limit or boundary condition.
-
E.
seedSpace
Indicates a relationship where an entity provides or occupies an initial area, context, or capacity from which growth, development, or further allocation can begin.
- F. None of above. chosen
Provenance (4 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb447c146081909decf97bbd26c496 |
completed | March 31, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:47 p.m.