Triple
T29910944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCNScene |
E759674
|
entity |
| Predicate | rootNodeType |
P161594
|
FINISHED |
| Object | SCNNode |
—
|
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: SCNNode | Statement: [SCNScene, rootNodeType, SCNNode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rootNodeType Context triple: [SCNScene, rootNodeType, SCNNode]
-
A.
rootShape
Indicates that one entity has the primary or overall geometric form or outline specified by the other entity.
-
B.
rootSystemType
Indicates the type or classification of an entity’s root system (e.g., taproot, fibrous, adventitious).
-
C.
rootStructure
Indicates that one entity serves as the primary or foundational structural element upon which another entity is based or organized.
-
D.
rootName
chosen
Indicates that the referenced node serves as the primary or top-level root in a hierarchical structure or dependency tree.
-
E.
mainTreeType
Indicates the predominant type of tree that characterizes or dominates a given area, object, 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775ac1ac8190a8efe5439cc1e52d |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:10 p.m.