Triple
T1308955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna |
E27944
|
entity |
| Predicate | meanDistanceFromEarth |
P7285
|
FINISHED |
| Object | about 384400 km |
—
|
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 km | Statement: [Luna, meanDistanceFromEarth, about 384400 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meanDistanceFromEarth Context triple: [Luna, meanDistanceFromEarth, about 384400 km]
-
A.
distanceFromEarth
chosen
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
B.
hasMeanDistanceFromSun
Indicates that an entity (typically a celestial body) is characterized by a specific average distance from the Sun.
-
C.
distanceFromEarthCenter
Indicates the measured or calculated spatial distance between an entity and the center of the Earth.
-
D.
aphelionDistance
Indicates the greatest distance between an orbiting body and the star it orbits, measured at the point of aphelion in its orbit.
-
E.
SunDistanceFromCenter
Indicates the distance between the Sun and the central reference point of a specified system (such as a galaxy or coordinate frame).
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.