Triple
T24978224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big History |
E625085
|
entity |
| Predicate | hasEducationalPlatform |
P88466
|
FINISHED |
| Object | Big History Project |
—
|
NE NERFINISHED |
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: Big History Project | Statement: [Big History, hasEducationalPlatform, Big History Project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalPlatform Context triple: [Big History, hasEducationalPlatform, Big History Project]
-
A.
containsEducationalHub
Indicates that one entity includes or hosts an educational hub (such as a learning center, school, or training facility) within its scope or boundaries.
-
B.
hasEducationalFeature
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
C.
hasEducationalBrand
Indicates that one entity possesses, is associated with, or operates under a particular educational brand or branding identity.
-
D.
hasEducationalLink
Indicates that there is an educational relationship or connection between two entities, such as teaching, learning, training, or academic affiliation.
-
E.
usesLearningPlatform
chosen
Indicates that an entity makes use of a particular learning platform for educational or training purposes.
- F. None of above.
Provenance (3 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:02 a.m.