Triple
T17179067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noachian |
E416933
|
entity |
| Predicate | surfaceRecord |
P126629
|
FINISHED |
| Object | densely cratered southern highlands of Mars |
—
|
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: densely cratered southern highlands of Mars | Statement: [Noachian, surfaceRecord, densely cratered southern highlands of Mars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceRecord Context triple: [Noachian, surfaceRecord, densely cratered southern highlands of Mars]
-
A.
surfaceAccess
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
B.
surfaceCurrent
Indicates that one entity is the prevailing flow or movement of a fluid (such as water or air) along the surface of another entity.
-
C.
surfaceState
Indicates the physical condition or status of a surface, such as its texture, cleanliness, damage, or treatment at a given time.
-
D.
surfaceCover
Indicates that one entity forms the material or layer that covers the outer surface of another entity.
-
E.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0f9a288190b0ddfb673bd8e84b |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.