Triple
T5201883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occator Crater |
E117410
|
entity |
| Predicate | brightnessContrast |
P43203
|
FINISHED |
| Object | bright deposits contrast with dark surrounding terrain |
—
|
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: bright deposits contrast with dark surrounding terrain | Statement: [Occator Crater, brightnessContrast, bright deposits contrast with dark surrounding terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brightnessContrast Context triple: [Occator Crater, brightnessContrast, bright deposits contrast with dark surrounding terrain]
-
A.
contrastRatio
chosen
Indicates the proportional difference in luminance or intensity between two visual elements being compared.
-
B.
createsContrastIn
Indicates a relationship where one element is used to highlight or emphasize differences with another element within a given context.
-
C.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
D.
registerContrast
Indicates that an entity records or establishes a distinction or difference between two or more items or states.
-
E.
contrastCapability
Indicates a relationship where one entity’s capabilities are compared or set in opposition to another’s, highlighting differences in what they can do or achieve.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.