Triple
T25892828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Environmental Design and Rural Development |
E652381
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object | University of Guelph College of Social and Applied Human Sciences |
E28974
|
NE FINISHED |
How this triple was built (1 step)
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 Guelph College of Social and Applied Human Sciences | Statement: [School of Environmental Design and Rural Development, affiliatedWith, University of Guelph College of Social and Applied Human Sciences]
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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6037fe4348190a673fd5e7380087b |
completed | May 2, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ecc0ace4819093937aa83ffc1913 |
completed | May 22, 2026, 11:54 p.m. |
Created at: April 22, 2026, 8:22 a.m.