Triple
T8038848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon Institute of Technology |
E187383
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | OIT |
E187383
|
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: OIT | Statement: [Oregon Institute of Technology, shortName, OIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OIT Context triple: [Oregon Institute of Technology, shortName, OIT]
-
A.
OIT
chosen
OIT is a public polytechnic university in Oregon known for its hands-on, technology-focused degree programs and strong industry partnerships.
-
B.
OII
OII is the stock ticker symbol for Oceaneering International, an engineering and applied technology company specializing in subsea services and products for the offshore energy industry.
-
C.
OIR
OIR is the regulatory agency responsible for overseeing and enforcing insurance laws and market conduct in the state of Florida.
-
D.
OIOS
OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
-
E.
IOE
IOE is the University College London Institute of Education, a leading centre for research and teaching in education and social science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f1bb1d88190b3d2c83387c8ce43 |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc570090a48190b84ba8325563148e |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:23 p.m.