Triple
T21163741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galle (lunar crater) |
E521504
|
entity |
| Predicate | hasShadowLength |
P143125
|
FINISHED |
| Object | variable with solar illumination angle |
—
|
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: variable with solar illumination angle | Statement: [Galle (lunar crater), hasShadowLength, variable with solar illumination angle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShadowLength Context triple: [Galle (lunar crater), hasShadowLength, variable with solar illumination angle]
-
A.
isShadowOf
Indicates that one entity is the cast or projected shadow produced by another entity under some light source.
-
B.
canCastShadows
Indicates that an entity has the ability to block light such that it produces a visible shadow.
-
C.
isIlluminatedBy
Indicates that one entity receives light from, or is lit up by, another entity.
-
D.
hasLighting
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
-
E.
hasLanternShape
Indicates that one entity has the form, outline, or configuration characteristic of a lantern.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72533fe88819082e14d71c36140be |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:59 p.m.