Triple
T35579644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Camerino |
E1028183
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
School of Biosciences and Veterinary Medicine
The School of Biosciences and Veterinary Medicine is an academic faculty specializing in life sciences and veterinary education and research within the University of Camerino in Italy.
|
E2146436
|
NE 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: School of Biosciences and Veterinary Medicine | Statement: [University of Camerino, hasFaculty, School of Biosciences and Veterinary Medicine]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Biosciences and Veterinary Medicine Triple: [University of Camerino, hasFaculty, School of Biosciences and Veterinary Medicine]
Generated description
The School of Biosciences and Veterinary Medicine is an academic faculty specializing in life sciences and veterinary education and research within the University of Camerino in Italy.
Provenance (5 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79e826f248190a8b8e9344f3f15fc |
completed | May 3, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a385309a6d88190a67b45538d23478d |
completed | June 21, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_6a385475674c8190866dd53e47dac3bd |
completed | June 21, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38552e7974819082b7ee16b00a21d0 |
completed | June 21, 2026, 9:18 p.m. |
Created at: May 3, 2026, 4:04 p.m.