Triple
T1027969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent School |
E22183
|
entity |
| Predicate | coeducational |
P12428
|
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: [Kent School, coeducational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coeducational Context triple: [Kent School, coeducational, true]
-
A.
hasCoeducation
chosen
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
D.
cultType
Indicates the specific kind or category of cult associated with an entity, such as its religious, ideological, or functional type.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.