Triple
T37970092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bournbrook area |
E947255
|
entity |
| Predicate | educationNearby |
P167117
|
FINISHED |
| Object | University of Birmingham |
—
|
NE NERFINISHED |
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: University of Birmingham | Statement: [Bournbrook area, educationNearby, University of Birmingham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationNearby Context triple: [Bournbrook area, educationNearby, University of Birmingham]
-
A.
educationInstitutionNearby
chosen
Indicates that an educational institution is located close to a specified place or entity.
-
B.
educationalHubFor
Indicates that one entity serves as a central place or resource for providing education, learning opportunities, or academic support to another entity.
-
C.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
D.
educationAccess
Indicates the extent to which an entity has the opportunity or ability to obtain education or educational resources.
-
E.
educationIntegration
Indicates the incorporation or coordination of educational content, methods, or systems into a broader program, environment, or framework.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.