Triple
T9806608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth–Moon system |
E237968
|
entity |
| Predicate | averageEarthMoonDistance_km |
P90085
|
FINISHED |
| Object | about 384400 |
—
|
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 384400 | Statement: [Earth–Moon system, averageEarthMoonDistance_km, about 384400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageEarthMoonDistance_km Context triple: [Earth–Moon system, averageEarthMoonDistance_km, about 384400]
-
A.
closestApproachToMoon
Indicates the point or distance at which an object comes nearest to the Moon along its trajectory or orbit.
-
B.
approximateSunMoonDistanceRatio
Indicates the numerical ratio between the distance from an observer (or Earth) to the Sun and the distance from the observer (or Earth) to the Moon.
-
C.
aphelionDistance
Indicates the greatest distance between an orbiting body and the star it orbits, measured at the point of aphelion in its orbit.
-
D.
distanceFromEarth
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
E.
approximateSunMoonSizeRatio
Indicates the proportional relationship between the apparent sizes of the Sun and the Moon as observed from a given viewpoint.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7cb9588190953a063cb7b9e29e |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.