Triple
T6906531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meitnerium |
E159825
|
entity |
| Predicate | electronCount |
P74039
|
FINISHED |
| Object | 109 |
—
|
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: 109 | Statement: [Meitnerium, electronCount, 109]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electronCount Context triple: [Meitnerium, electronCount, 109]
-
A.
hasElectronConfiguration
Indicates that an entity (typically an atom or ion) possesses a specific arrangement of electrons in its atomic orbitals.
-
B.
hasProtonNumber
Indicates that an entity (typically a chemical element or atom) possesses a specific number of protons in its nucleus.
-
C.
hasAtomicNumber
Indicates that one entity is the chemical element whose atomic number (number of protons in its nucleus) is given by the other entity.
-
D.
hasNeutronNumber
Indicates that an entity (typically an atom or nuclide) has a specified number of neutrons in its nucleus.
-
E.
elementInPeriodicTable
Indicates that one entity is a chemical element that appears as an entry in the periodic table.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d98c3ab08190a1830c45578056ac |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:25 p.m.