Triple
T4540807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AEARU |
E107524
|
entity |
| Predicate | abbreviation |
P43
|
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: [AEARU, abbreviation, AEARU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEARU Context triple: [AEARU, abbreviation, 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.
AAR
AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
-
E.
AArU
AArU is a regional organization that brings together universities from Arab countries to promote cooperation, coordination, and development in higher education and research.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57bb5c0c819092ebb2dd3310f5f8 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb91e51988190aee638cc21c6cf54 |
completed | March 20, 2026, 9:16 p.m. |
Created at: March 20, 2026, 1:04 p.m.