Triple
T26488254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilkinson's catalyst |
E664885
|
entity |
| Predicate | hasMolecularity |
P176699
|
FINISHED |
| Object | mononuclear |
—
|
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: mononuclear | Statement: [Wilkinson's catalyst, hasMolecularity, mononuclear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMolecularity Context triple: [Wilkinson's catalyst, hasMolecularity, mononuclear]
-
A.
usesMolecule
Indicates that one entity employs or utilizes a particular molecule in performing an action, process, or function.
-
B.
hasMolecularWeight
Indicates that an entity possesses a specific molecular weight value, typically expressed in standardized units such as daltons or g/mol.
-
C.
isSmallMolecule
Indicates that the entity is a low-molecular-weight chemical compound, typically not a polymer or macromolecule.
-
D.
hasActiveMetabolite
Indicates that a substance produces one or more metabolites that remain pharmacologically active in the body.
-
E.
hasMolecularFunction
Indicates that an entity (typically a gene product or protein) performs or is associated with a specific molecular-level activity or function.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 27, 2026, 12:32 a.m.