Triple
T24616987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, Ruhr University Bochum |
E609287
|
entity |
| Predicate | hasAffiliation |
P467
|
FINISHED |
| Object |
Augusta-Kranken-Anstalt Bochum
Augusta-Kranken-Anstalt Bochum is a hospital in Bochum, Germany, that serves as a teaching and clinical training site for the Ruhr University Bochum’s Faculty of Medicine.
|
E1645360
|
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: Augusta-Kranken-Anstalt Bochum | Statement: [Faculty of Medicine, Ruhr University Bochum, hasAffiliation, Augusta-Kranken-Anstalt Bochum]
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: Augusta-Kranken-Anstalt Bochum Triple: [Faculty of Medicine, Ruhr University Bochum, hasAffiliation, Augusta-Kranken-Anstalt Bochum]
Generated description
Augusta-Kranken-Anstalt Bochum is a hospital in Bochum, Germany, that serves as a teaching and clinical training site for the Ruhr University Bochum’s Faculty of Medicine.
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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2aa62574c81908d72e4db088cace4 |
completed | April 30, 2026, 1:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10047fab9c81909558ceb6239f5ed5 |
completed | May 22, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_6a100a1280fc8190ae7931526b0ddc97 |
completed | May 22, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a100a6f955081908f3536c15b2a44a9 |
completed | May 22, 2026, 7:49 a.m. |
Created at: April 18, 2026, 2:31 a.m.