Triple
T34753389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Rhode Island Kingston Campus |
E1001847
|
entity |
| Predicate | hasSchool |
P113
|
FINISHED |
| Object |
Graduate School of Oceanography (administrative home at Kingston, primary facilities at Narragansett Bay Campus)
The Graduate School of Oceanography is a leading marine science and oceanographic research institution of the University of Rhode Island, known for its coastal and deep-sea studies and advanced oceanographic facilities.
|
E2112252
|
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: Graduate School of Oceanography (administrative home at Kingston, primary facilities at Narragansett Bay Campus) | Statement: [University of Rhode Island Kingston Campus, hasSchool, Graduate School of Oceanography (administrative home at Kingston, primary facilities at Narragansett Bay Campus)]
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: Graduate School of Oceanography (administrative home at Kingston, primary facilities at Narragansett Bay Campus) Triple: [University of Rhode Island Kingston Campus, hasSchool, Graduate School of Oceanography (administrative home at Kingston, primary facilities at Narragansett Bay Campus)]
Generated description
The Graduate School of Oceanography is a leading marine science and oceanographic research institution of the University of Rhode Island, known for its coastal and deep-sea studies and advanced oceanographic facilities.
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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f779ed869c8190abe792923a19316a |
completed | May 3, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37662e47a4819087f1066bb407ca83 |
completed | June 21, 2026, 4:18 a.m. |
| NEDg | Description generation | batch_6a37670a06888190a62323cca2fb2708 |
completed | June 21, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a376902593881908e9bdcd5d3231026 |
completed | June 21, 2026, 4:30 a.m. |
Created at: May 3, 2026, 3:59 p.m.