Triple
T17183886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song of the Minerals |
E417050
|
entity |
| Predicate | educationalField |
P126649
|
FINISHED |
| Object | STEM education |
—
|
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: STEM education | Statement: [Song of the Minerals, educationalField, STEM education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalField Context triple: [Song of the Minerals, educationalField, STEM education]
-
A.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
B.
fieldOfEducationCode
Indicates the specific area or discipline of study associated with an entity, represented by a standardized education field code.
-
C.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
D.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
E.
characterFieldOfStudy
Indicates the academic or disciplinary field that a character studies or specializes in.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9416a48190a5930fcd6008dbaa |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.