Triple
T868978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury |
E18768
|
entity |
| Predicate | radius_mean |
P2019
|
FINISHED |
| Object | about 2,440 kilometers |
—
|
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: about 2,440 kilometers | Statement: [Mercury, radius_mean, about 2,440 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radius_mean Context triple: [Mercury, radius_mean, about 2,440 kilometers]
-
A.
hasMeanRadius
chosen
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
B.
approximateDiameter
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
-
C.
baseCircumference
Indicates the circumference measurement of the base of an object or geometric figure.
-
D.
round
Indicates that an entity has a circular or approximately circular shape or form.
-
E.
semiMajorAxis
Indicates the length of the longest radius of an elliptical orbit, measuring the average distance between the orbiting body and the central body.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7f98908190883f71049092c7c8 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.