Triple
T4200565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | zanamivir |
E86054
|
entity |
| Predicate | hasMolarMass |
P23159
|
FINISHED |
| Object | 332.31 g/mol |
—
|
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: 332.31 g/mol | Statement: [zanamivir, hasMolarMass, 332.31 g/mol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMolarMass Context triple: [zanamivir, hasMolarMass, 332.31 g/mol]
-
A.
hasMolecularWeight
chosen
Indicates that an entity possesses a specific molecular weight value, typically expressed in standardized units such as daltons or g/mol.
-
B.
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.
-
C.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
hasChemicalFormula
Indicates that one entity (typically a chemical substance) is characterized by or associated with a specific chemical formula representing its elemental composition.
-
E.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0363bbb8819093f396afe91972e2 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.