Triple
T17375203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège Sévigné |
E422417
|
entity |
| Predicate | transitionedToCoeducation |
P86983
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Collège Sévigné, transitionedToCoeducation, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitionedToCoeducation Context triple: [Collège Sévigné, transitionedToCoeducation, 20th century]
-
A.
transitionedToCoed
chosen
Indicates that an institution or group changed its status from single-gender to coeducational, allowing participation by all genders.
-
B.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
C.
hasFirstFemaleGraduate
Indicates that an institution or program has a specific person who is recognized as its first female graduate.
-
D.
becameFourYearInstitution
Indicates that an educational institution transitioned to offering four-year degree programs or full four-year status.
-
E.
upgradedToCollege
Indicates that an entity has advanced or transitioned from a lower educational level or status to a college-level status or institution.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.