Triple
T2390459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lawrencium |
E48928
|
entity |
| Predicate | hasAtomicRadius |
P38150
|
FINISHED |
| Object | about 160 pm (predicted) |
—
|
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 160 pm (predicted) | Statement: [lawrencium, hasAtomicRadius, about 160 pm (predicted)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAtomicRadius Context triple: [lawrencium, hasAtomicRadius, about 160 pm (predicted)]
-
A.
hasAtomicNumber
Indicates that one entity is the chemical element whose atomic number (number of protons in its nucleus) is given by the other entity.
-
B.
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.
-
C.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
D.
hasProtonNumber
Indicates that an entity (typically a chemical element or atom) possesses a specific number of protons in its nucleus.
-
E.
hasMassNumber
Indicates that an atomic nucleus or isotope is associated with a specific mass number, representing the total count of protons and neutrons it contains.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87457388190822d5506327db8f2 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.