Triple
T1587939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon University System |
E34108
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
OUS
OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
|
E180564
|
NE FINISHED |
How this triple was built (4 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: OUS | Statement: [Oregon University System, shortName, OUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OUS Context triple: [Oregon University System, shortName, OUS]
-
A.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
B.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
C.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
D.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
E.
UAL
UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: OUS Triple: [Oregon University System, shortName, OUS]
Generated description
OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OUS Target entity description: OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
-
A.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
B.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
C.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
D.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
E.
UAL
UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
- F. None of above. chosen
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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9090c8e488190aa25893c5ef0fe22 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad469b36548190b2bdf2324fbea30f |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad47189b388190acd217b2ba37533b |
completed | March 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad47ffc5088190aeba84f6d92ff86f |
completed | March 8, 2026, 9:57 a.m. |
Created at: March 4, 2026, 7:27 p.m.