Triple
T11360148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grätzel cell |
E269063
|
entity |
| Predicate | typicalDyeType |
P39511
|
FINISHED |
| Object | ruthenium-based dye |
—
|
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: ruthenium-based dye | Statement: [Grätzel cell, typicalDyeType, ruthenium-based dye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDyeType Context triple: [Grätzel cell, typicalDyeType, ruthenium-based dye]
-
A.
usesDyes
chosen
Indicates that one entity employs or applies dyes in relation to another entity or process.
-
B.
dyeComponent
Indicates that one entity is a constituent or ingredient used to produce or formulate a dye in relation to another entity.
-
C.
textileType
Indicates the specific kind or category of textile material associated with an entity.
-
D.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
-
E.
typicalColorDescription
Indicates the usual or characteristic color 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.