Triple
T12966007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemical and Physical Foundations of Biological Systems |
E321264
|
entity |
| Predicate | testsSubject |
P107733
|
FINISHED |
| Object | general chemistry |
—
|
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: general chemistry | Statement: [Chemical and Physical Foundations of Biological Systems, testsSubject, general chemistry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testsSubject Context triple: [Chemical and Physical Foundations of Biological Systems, testsSubject, general chemistry]
-
A.
testObjective
Indicates that an entity serves as the goal, purpose, or intended outcome of a test or testing activity.
-
B.
tests
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
-
C.
test
Indicates that an entity performs, undergoes, or is associated with a testing or examination process involving another entity or condition.
-
D.
testedFor
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
-
E.
testsIn
Indicates that one entity conducts or performs tests within, on, or using 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:28 p.m.