Triple
T18956666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariner 9 |
E463796
|
entity |
| Predicate | imaged |
P38871
|
FINISHED |
| Object | over 80 percent of Martian surface |
—
|
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: over 80 percent of Martian surface | Statement: [Mariner 9, imaged, over 80 percent of Martian surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imaged Context triple: [Mariner 9, imaged, over 80 percent of Martian surface]
-
A.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
B.
imagedBy
chosen
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
-
C.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
D.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
-
E.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cdf2d08190a0aecd3fa5335a75 |
completed | April 20, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon