Triple
T135755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars Science Laboratory entry, descent, and landing modeling |
E2741
|
entity |
| Predicate | models |
P2006
|
FINISHED |
| Object | Mars atmospheric density profiles |
—
|
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: Mars atmospheric density profiles | Statement: [Mars Science Laboratory entry, descent, and landing modeling, models, Mars atmospheric density profiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: models Context triple: [Mars Science Laboratory entry, descent, and landing modeling, models, Mars atmospheric density profiles]
-
A.
model
chosen
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
B.
architecture
Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
-
C.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
D.
notableModel
Indicates that an entity is a particularly important, influential, or exemplary instance or version within a broader category or system.
-
E.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a4edf081908c494c8370c76b9a |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25651b9048190a6277b7fec98c1ea |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.