Triple
T2858251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Anne's College, Oxford |
E63254
|
entity |
| Predicate | wasFormerlyWomenOnlyCollege |
P14517
|
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: [St Anne's College, Oxford, wasFormerlyWomenOnlyCollege, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFormerlyWomenOnlyCollege Context triple: [St Anne's College, Oxford, wasFormerlyWomenOnlyCollege, true]
-
A.
admittedWomen
Indicates that an entity allowed or accepted women into a place, group, institution, or event.
-
B.
formerGenderAdmission
chosen
Indicates that an institution previously admitted a particular gender but no longer does so.
-
C.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
D.
isSingleSex
Indicates that the entity involves or is restricted to only one biological sex or gender, rather than being mixed or coeducational.
-
E.
hasWomenOrganization
Indicates that an entity is associated with, contains, or is part of an organization specifically for women.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.