Triple
T10609820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | THCA |
E275976
|
entity |
| Predicate | laboratoryAnalysis |
P94930
|
FINISHED |
| Object | can be quantified by HPLC |
—
|
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: can be quantified by HPLC | Statement: [THCA, laboratoryAnalysis, can be quantified by HPLC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laboratoryAnalysis Context triple: [THCA, laboratoryAnalysis, can be quantified by HPLC]
-
A.
laboratoryModule
Indicates a relationship where an entity is a laboratory module or functions as a lab-specific component or unit within a larger system or structure.
-
B.
hasKeyLaboratory
Indicates that an entity possesses or is associated with a designated key laboratory, typically as an important research or development facility under its responsibility.
-
C.
laboratoryMedium
Indicates that one entity serves as the culture or growth medium used in a laboratory context for another entity.
-
D.
hasLaboratorySystem
Indicates that one entity possesses, uses, or is associated with a particular laboratory system.
-
E.
aboardLaboratory
Indicates that an entity is physically present on or within a laboratory facility, such as being on board a lab-equipped platform, vehicle, or structure.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df59468881909b0c67d3f08c4b76 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:32 p.m.