Triple
T34790944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sphere |
E1002941
|
entity |
| Predicate | exterior |
P56101
|
FINISHED |
| Object | massive programmable LED surface |
—
|
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: massive programmable LED surface | Statement: [Sphere, exterior, massive programmable LED surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exterior Context triple: [Sphere, exterior, massive programmable LED surface]
-
A.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
-
B.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
C.
exteriorShape
Indicates the overall outer form or contour that characterizes how something appears from the outside.
-
D.
hasExteriorType
Indicates that an entity possesses a specific kind or style of exterior.
-
E.
outerSurface
chosen
Indicates that one entity forms the external boundary or outermost layer of 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 3:59 p.m.