Triple
T10475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenCourseWare movement |
E213
|
entity |
| Predicate | emergedFrom |
P1257
|
FINISHED |
| Object | open education movement |
—
|
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: open education movement | Statement: [OpenCourseWare movement, emergedFrom, open education movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergedFrom Context triple: [OpenCourseWare movement, emergedFrom, open education movement]
-
A.
wasColonyOf
Indicates that one entity functioned as a colony under the political control or administration of another entity.
-
B.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
C.
era
Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
-
D.
wasSupersededBy
Indicates that one entity has been replaced or made obsolete by another entity that takes over its role or function.
-
E.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a242cd8fb481909562f114f4ce7700 |
completed | Feb. 28, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69a23fe6b0bc8190bcce9b74f2c5fb08 |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a242cce40481908e5eae0c94313c25 |
completed | Feb. 28, 2026, 1:20 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.