Triple
T6094943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saiph |
E135853
|
entity |
| Predicate | radius_solarRadius |
P57022
|
FINISHED |
| Object | ~22 |
—
|
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: ~22 | Statement: [Saiph, radius_solarRadius, ~22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radius_solarRadius Context triple: [Saiph, radius_solarRadius, ~22]
-
A.
hasRadius_solarRadius
chosen
Indicates that an entity has a radius whose value is expressed in units of the Sun’s radius.
-
B.
radiusRelativeToJupiter
Indicates that the radius of one object is expressed as a value relative to the radius of Jupiter.
-
C.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
D.
approximateDistanceFromSun
Indicates an estimated or rough measure of how far an entity is from the Sun, rather than an exact distance.
-
E.
luminosityRelativeToSun
Indicates how bright an object is compared to the Sun, expressed as a ratio of their luminosities.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a963bac8190bc0c33fef187875c |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.