Triple
T22056839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argyre Planitia |
E545041
|
entity |
| Predicate | hasAlbedoFeatureType |
P62445
|
FINISHED |
| Object | planitia |
—
|
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: planitia | Statement: [Argyre Planitia, hasAlbedoFeatureType, planitia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlbedoFeatureType Context triple: [Argyre Planitia, hasAlbedoFeatureType, planitia]
-
A.
hasAlbedoFeatureName
Indicates that an entity has or is associated with a specific named albedo (surface reflectivity) feature.
-
B.
hasAlbedo
Indicates that an entity possesses a specific reflectivity or albedo value, describing how much incoming light it reflects.
-
C.
albedoType
Indicates the type or classification of an object's albedo, specifying the nature or category of its reflectivity characteristics.
-
D.
hasHighAlbedo
Indicates that the subject reflects a large proportion of incoming light or radiation from its surface.
-
E.
hasPlanetaryFeatureType
chosen
Indicates that an entity possesses or is associated with a specific type of planetary surface or geological feature.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128588e0081909056ac8251afe935 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.