Triple
T5412527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copernicus (lunar crater) |
E121044
|
entity |
| Predicate | rayComposition |
P63294
|
FINISHED |
| Object | fresh highland and mare material |
—
|
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: fresh highland and mare material | Statement: [Copernicus (lunar crater), rayComposition, fresh highland and mare material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rayComposition Context triple: [Copernicus (lunar crater), rayComposition, fresh highland and mare material]
-
A.
rayShape
Indicates that one entity is the geometric shape or form taken by a ray associated with another entity.
-
B.
rayColor
Indicates the specific color value associated with a given ray in a rendering or optical context.
-
C.
rayPattern
Indicates a relationship where something displays or follows a radiating, ray-like arrangement or distribution from a central point.
-
D.
compositing
Indicates combining multiple visual elements or layers into a single cohesive image or scene.
-
E.
backgroundComposition
Indicates that one entity serves as the background or surrounding setting in which another entity is visually or contextually composed.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bb3c0c81908711784bc865ff03 |
completed | March 20, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd865702ec8190831bde2c2a331f28 |
completed | March 20, 2026, 5:39 p.m. |
Created at: March 20, 2026, 2:05 p.m.