Triple
T16883068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyoscyamus |
E421469
|
entity |
| Predicate | containsCompoundType |
P124836
|
FINISHED |
| Object | tropane alkaloids |
—
|
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: tropane alkaloids | Statement: [Hyoscyamus, containsCompoundType, tropane alkaloids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCompoundType Context triple: [Hyoscyamus, containsCompoundType, tropane alkaloids]
-
A.
hasCompositionType
Indicates that one entity is composed of or formed by another entity in a specific structural or material way.
-
B.
isComposite
Indicates that an entity is made up of multiple components or parts combined into a single whole.
-
C.
hasComplex
Indicates that one entity possesses, is associated with, or is part of a larger composite structure or complex formed with another entity.
-
D.
hasContainmentType
Indicates the specific way in which one entity is contained within or enclosed by another.
-
E.
hasConcretionType
Indicates that an entity possesses or is associated with a specific type or category of concretion.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbbdffd8819093f1efd91f6d49dc |
completed | April 18, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32e2c07b081908c8fee9f5507bb9e |
completed | April 18, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:29 a.m.