Triple
T11360175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grätzel cell |
E269063
|
entity |
| Predicate | photoactiveLayerType |
P69308
|
FINISHED |
| Object | dye monolayer on nanocrystalline semiconductor |
—
|
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: dye monolayer on nanocrystalline semiconductor | Statement: [Grätzel cell, photoactiveLayerType, dye monolayer on nanocrystalline semiconductor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photoactiveLayerType Context triple: [Grätzel cell, photoactiveLayerType, dye monolayer on nanocrystalline semiconductor]
-
A.
layerType
chosen
Indicates the specific kind or category of layer that an entity belongs to or is classified as.
-
B.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
-
C.
opticalProperty
Indicates a relationship where an entity has or is characterized by a specific optical property, such as how it interacts with or responds to light.
-
D.
albedoType
Indicates the type or classification of an object's albedo, specifying the nature or category of its reflectivity characteristics.
-
E.
coatingType
Indicates the type or kind of coating applied to or associated with an 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.