Triple
T11016748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catmull–Rom spline |
E260383
|
entity |
| Predicate | segmentDependsOn |
P1022
|
FINISHED |
| Object | four consecutive control points |
—
|
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: four consecutive control points | Statement: [Catmull–Rom spline, segmentDependsOn, four consecutive control points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentDependsOn Context triple: [Catmull–Rom spline, segmentDependsOn, four consecutive control points]
-
A.
hasDependency
chosen
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
-
B.
conceptuallyDependsOn
Indicates that one entity’s definition, validity, or understanding relies on or is grounded in the concepts provided by another entity.
-
C.
positionDependsOn
Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
-
D.
distanceSupportDependsOn
Indicates that the level or type of support provided is contingent on the physical or relational distance between the involved entities.
-
E.
dependency
Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without another entity.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a682908190b061d1995e2866b6 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.