Triple
T7806417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon University System |
E180564
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | OUS |
E180564
|
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: OUS | Statement: [Oregon University System, abbreviation, OUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OUS Context triple: [Oregon University System, abbreviation, OUS]
-
A.
OUS
chosen
OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
-
B.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
C.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
D.
OU
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
-
E.
ONS
ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf639fba88190a7c117aab19c0b0f |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1450a2408190afe0459086d4480f |
completed | March 31, 2026, 12:24 a.m. |
Created at: March 30, 2026, 4:35 p.m.