Triple
T19572864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania College for Women |
E489765
|
entity |
| Predicate | successorInstitutionCoeducational |
P136324
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pennsylvania College for Women, successorInstitutionCoeducational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInstitutionCoeducational Context triple: [Pennsylvania College for Women, successorInstitutionCoeducational, true]
-
A.
successorInstitution
Indicates that one institution continues, replaces, or takes over the role and functions of another institution in a successor relationship.
-
B.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
C.
successorInstitutionLocation
Indicates that the location specified is associated with the successor institution that follows or replaces a prior institution.
-
D.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
E.
endedAsTraditionalInstitution
Indicates that an entity’s existence or development concluded with it functioning as a traditional, established institution.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402228488190b5649d4bbd34d019 |
completed | April 20, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:42 p.m.