Triple
T2523410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | THC |
E55576
|
entity |
| Predicate | conversionProcess |
P39633
|
FINISHED |
| Object | decarboxylation of THCA |
—
|
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: decarboxylation of THCA | Statement: [THC, conversionProcess, decarboxylation of THCA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionProcess Context triple: [THC, conversionProcess, decarboxylation of THCA]
-
A.
conversionContext
Indicates the situational or environmental factors under which a conversion (e.g., change of state, format, or belief) occurs or is interpreted.
-
B.
convertsTo
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
C.
convertedBy
Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
-
D.
conversionEvent
Indicates that a user or entity has completed a desired target action (such as a purchase, signup, or other goal) that counts as a successful conversion.
-
E.
convertedFrom
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23a0a548190b44393e0f823f7a9 |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1487e0c8190b90dcf30586ad4cd |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:46 p.m.