Triple
T1000442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neptune |
E21590
|
entity |
| Predicate | distanceFromSun_km |
P2016
|
FINISHED |
| Object | about 4.5 billion 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 4.5 billion kilometers | Statement: [Neptune, distanceFromSun_km, about 4.5 billion kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSun_km Context triple: [Neptune, distanceFromSun_km, about 4.5 billion kilometers]
-
A.
distanceFromEarth
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
B.
hasMeanDistanceFromSun
chosen
Indicates that an entity (typically a celestial body) is characterized by a specific average distance from the Sun.
-
C.
SunDistanceFromCenter
Indicates the distance between the Sun and the central reference point of a specified system (such as a galaxy or coordinate frame).
-
D.
distanceFromEarthCenter
Indicates the measured or calculated spatial distance between an entity and the center of the Earth.
-
E.
aphelionDistance
Indicates the greatest distance between an orbiting body and the star it orbits, measured at the point of aphelion in its orbit.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.