Triple
T10841006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford College |
E255883
|
entity |
| Predicate | admittedMen |
P96015
|
FINISHED |
| Object | in the 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: in the 20th century | Statement: [Bedford College, admittedMen, in the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admittedMen Context triple: [Bedford College, admittedMen, in the 20th century]
-
A.
admittedWomen
Indicates that an entity allowed or accepted women into a place, group, institution, or event.
-
B.
admissionGender
Indicates the gender-based criteria or classification applied in the context of admission or entry decisions.
-
C.
admitted
Indicates that one entity has formally accepted, acknowledged, or allowed another entity or fact, often into a place, group, or state.
-
D.
admittedEntity
Indicates that one entity has been formally accepted, received, or allowed entry by another entity (such as an institution, organization, or location).
-
E.
admittedStudents
Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750ccb95c81908fec4885e6172f78 |
completed | April 9, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:19 p.m.