Triple
T9806640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth–Moon system |
E237968
|
entity |
| Predicate | moonMassFraction |
P90092
|
FINISHED |
| Object | about 0.0121 |
—
|
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 0.0121 | Statement: [Earth–Moon system, moonMassFraction, about 0.0121]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moonMassFraction Context triple: [Earth–Moon system, moonMassFraction, about 0.0121]
-
A.
massRelativeToMoon
Indicates that one entity’s mass is being expressed as a value relative to, or in comparison with, the mass of the Moon.
-
B.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
C.
fractionOfSolarSystemMass
Indicates the proportion of the total mass of the Solar System that is accounted for by a given entity.
-
D.
massRelativeToPluto
Indicates the comparative mass of an entity expressed relative to the mass of Pluto.
-
E.
hasLargestMoon
Indicates that, among a set of compared entities, this entity possesses the moon with the greatest size.
- 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.