Triple
T22629764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2,4-D |
E558515
|
entity |
| Predicate | belongsToChemicalClass |
P38028
|
FINISHED |
| Object | phenoxyacetic acids |
—
|
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: phenoxyacetic acids | Statement: [2,4-D, belongsToChemicalClass, phenoxyacetic acids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToChemicalClass Context triple: [2,4-D, belongsToChemicalClass, phenoxyacetic acids]
-
A.
hasChemicalClass
chosen
Indicates that an entity belongs to, or is categorized under, a particular chemical class based on its structural or compositional characteristics.
-
B.
hasChemicalCluster
Indicates that one entity contains, is associated with, or is organized into a specific group or cluster of chemically related components or structures.
-
C.
hasPharmacologicClass
Indicates that a drug or medicinal product belongs to a specific pharmacologic class based on its mechanism of action or therapeutic effect.
-
D.
hasChemicalProperty
Indicates that an entity possesses or exhibits a specific chemical property or characteristic.
-
E.
containsChemical
Indicates that one entity includes or has within it a specified chemical substance.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3febd081909ff21abef1e4035d |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:02 p.m.