Triple
T2805829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul National University |
E54050
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | AEARU |
E107524
|
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: AEARU | Statement: [Seoul National University, affiliation, AEARU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEARU Context triple: [Seoul National University, affiliation, AEARU]
-
A.
AEARU
chosen
AEARU (Association of East Asian Research Universities) is a consortium of leading research-intensive universities in East Asia that promotes academic collaboration and exchange among its member institutions.
-
B.
AAR
AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
-
C.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
D.
AER
AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
-
E.
AEF
AEF was the common abbreviation for French Equatorial Africa, a former federation of French colonial territories in central Africa.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde165a448190aa2728ec074daf88 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc676d03081908986026dfe5fc852 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:59 p.m.