Triple
T10710477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westfield College |
E252520
|
entity |
| Predicate | laterGenderAdmission |
P14517
|
FINISHED |
| Object | co-educational |
—
|
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: co-educational | Statement: [Westfield College, laterGenderAdmission, co-educational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterGenderAdmission Context triple: [Westfield College, laterGenderAdmission, co-educational]
-
A.
admissionGender
Indicates the gender-based criteria or classification applied in the context of admission or entry decisions.
-
B.
formerGenderAdmission
chosen
Indicates that an institution previously admitted a particular gender but no longer does so.
-
C.
admittedTo
Indicates that one entity has been formally accepted, enrolled, or granted entry into another entity, such as an institution, program, or facility.
-
D.
hasAdmission
Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
-
E.
admissionResult
Indicates the outcome or decision of an admission process for an applicant or entity.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe515b1081909532a20b61ff6cf0 |
completed | April 9, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:13 p.m.