Triple
T5108539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anaximenes of Miletus |
E115157
|
entity |
| Predicate | taughtThat |
P61611
|
FINISHED |
| Object | all things arise from air by rarefaction and condensation |
—
|
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: all things arise from air by rarefaction and condensation | Statement: [Anaximenes of Miletus, taughtThat, all things arise from air by rarefaction and condensation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taughtThat Context triple: [Anaximenes of Miletus, taughtThat, all things arise from air by rarefaction and condensation]
-
A.
taughtThrough
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
B.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
C.
taughtCourse
Indicates that an entity (typically an instructor) has taught a particular course.
-
D.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
E.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75aa6b088190b02cdb66ec4a11f0 |
completed | March 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69bd715fe3a8819087d3065adddba515 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:41 p.m.