Triple
T19366833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daedalia Planum |
E484423
|
entity |
| Predicate | hasRemoteSensingData |
P135663
|
FINISHED |
| Object | visible imagery |
—
|
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: visible imagery | Statement: [Daedalia Planum, hasRemoteSensingData, visible imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemoteSensingData Context triple: [Daedalia Planum, hasRemoteSensingData, visible imagery]
-
A.
hasRemoteSensingDataFrom
Indicates that one entity possesses or is associated with remote sensing data that was obtained from another entity or source.
-
B.
hasSpatialResolution
Indicates that something is characterized by a specific level of spatial detail or granularity at which it can represent or distinguish features in space.
-
C.
hasSolarRadiation
Indicates that an entity is subject to, receives, or is characterized by a certain amount or presence of solar radiation.
-
D.
hasImageryFrom
Indicates that one entity contains, incorporates, or is derived from the imagery produced or provided by another entity.
-
E.
hasColorImagery
Indicates that something includes or is characterized by visual elements emphasizing specific colors or color-based symbolism.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619ac26d4819095836d737b629cf1 |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.