Triple
T35629832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asteroid belt |
E1029552
|
entity |
| Predicate | approximateMassRelativeToEarth |
P7280
|
FINISHED |
| Object | 0.04% |
—
|
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: 0.04% | Statement: [Asteroid belt, approximateMassRelativeToEarth, 0.04%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateMassRelativeToEarth Context triple: [Asteroid belt, approximateMassRelativeToEarth, 0.04%]
-
A.
massRelativeToEarth
chosen
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
B.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
C.
relativeSizeToEarth
Indicates the comparative size of an entity when measured relative to the size of Earth.
-
D.
massRelativeToMoon
Indicates that one entity’s mass is being expressed as a value relative to, or in comparison with, the mass of the Moon.
-
E.
massRelativeToJupiter
Indicates the mass of an entity expressed as a ratio or multiple of Jupiter’s mass.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
Created at: May 3, 2026, 4:05 p.m.