Triple
T38560283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZN stain |
E928060
|
entity |
| Predicate | usesDecolorizer |
P191636
|
FINISHED |
| Object | acid-alcohol |
—
|
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: acid-alcohol | Statement: [ZN stain, usesDecolorizer, acid-alcohol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDecolorizer Context triple: [ZN stain, usesDecolorizer, acid-alcohol]
-
A.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
B.
usesColorMatchingFunctions
Indicates that one entity applies color matching functions to relate or convert color stimuli between different color spaces or representations.
-
C.
usesDyes
Indicates that one entity employs or applies dyes in relation to another entity or process.
-
D.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
E.
avoidsColorsOf
Indicates that one entity deliberately refrains from using, displaying, or interacting with the colors associated with another entity.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:32 p.m.