Triple
T924493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol |
E19953
|
entity |
| Predicate | metallicity_Z |
P7287
|
FINISHED |
| Object | approximately 0.0134 |
—
|
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: approximately 0.0134 | Statement: [Sol, metallicity_Z, approximately 0.0134]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metallicity_Z Context triple: [Sol, metallicity_Z, approximately 0.0134]
-
A.
metallicity
chosen
Indicates the proportion of an object's mass that is made up of elements heavier than hydrogen and helium, typically used to describe the chemical richness of stars or galaxies.
-
B.
hasAtomicNumber
Indicates that one entity is the chemical element whose atomic number (number of protons in its nucleus) is given by the other entity.
-
C.
standardAtomicWeight
Indicates the conventional average mass of atoms of an element in a specified sample, typically reflecting the weighted mean of its naturally occurring isotopes.
-
D.
mostAbundantIsotope
Indicates that one isotope of an element is identified as the most frequently occurring (highest natural abundance) among all its isotopes.
-
E.
stateMetal
Indicates that an entity is in a metallic state or exhibits properties characteristic of a metal.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.