Triple
T17743584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dom-ino structural system |
E442924
|
entity |
| Predicate | structuralSystemType |
P128830
|
FINISHED |
| Object | column-and-slab frame |
—
|
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: column-and-slab frame | Statement: [Dom-ino structural system, structuralSystemType, column-and-slab frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralSystemType Context triple: [Dom-ino structural system, structuralSystemType, column-and-slab frame]
-
A.
superstructureType
Indicates the specific kind or design category of a structure’s superstructure that an entity possesses or is associated with.
-
B.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
C.
structuralDesigner
Indicates that an entity is responsible for planning, analyzing, and designing the structural aspects of another entity (such as a building, bridge, or component).
-
D.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
E.
buildingSystem
Indicates that one entity functions as a system, subsystem, or organized set of components that serves or supports the operation of a building.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acf44f8819089a18193e37d112c |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:09 a.m.