Triple
T869009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury |
E18768
|
entity |
| Predicate | magneticFieldStrength_surface |
P5337
|
FINISHED |
| Object | about 1% of Earth’s |
—
|
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 1% of Earth’s | Statement: [Mercury, magneticFieldStrength_surface, about 1% of Earth’s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magneticFieldStrength_surface Context triple: [Mercury, magneticFieldStrength_surface, about 1% of Earth’s]
-
A.
magneticFieldStrength
chosen
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
-
B.
hasMagnetosphere
Indicates that an astronomical body possesses a magnetic field strong enough to create a surrounding magnetosphere.
-
C.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
D.
hasSurfaceGravity
Indicates that one entity possesses a specific gravitational acceleration at its surface, typically measured as the strength of gravity experienced at or near that surface.
-
E.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
- 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.