Triple
T5088948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MK 2 |
E114706
|
entity |
| Predicate | surfaceAlbedo |
P2046
|
FINISHED |
| Object | low albedo |
—
|
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: low albedo | Statement: [MK 2, surfaceAlbedo, low albedo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceAlbedo Context triple: [MK 2, surfaceAlbedo, low albedo]
-
A.
surfaceColor
Indicates the color that appears on the outer visible surface of an entity.
-
B.
hasAlbedo
chosen
Indicates that an entity possesses a specific reflectivity or albedo value, describing how much incoming light it reflects.
-
C.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
surfaceBrightnessProfile
Indicates the distribution of brightness as a function of position across a surface, typically describing how intensity changes from one region to another.
-
E.
surfaceBrightnessClass
Indicates the qualitative classification of how bright an extended object (such as a galaxy) appears per unit area on the sky.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd753f6544819090c028b34ee87536 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.