Triple
T2565712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonsei University |
E57345
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | APRUC |
E1537
|
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: APRUC | Statement: [Yonsei University, memberOf, APRUC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APRUC Context triple: [Yonsei University, memberOf, APRUC]
-
A.
APRIN
APRIN is a Japanese organization focused on promoting research integrity and ethical conduct in academic and scientific communities.
-
B.
APRU
chosen
APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
-
C.
APRALO
APRALO is the Asia Pacific Regional At-Large Organization within ICANN that represents and coordinates the interests of individual Internet users in the Asia-Pacific region.
-
D.
APRR
APRR is a major French motorway concession and operating company responsible for managing and maintaining a large portion of France’s autoroute network.
-
E.
APG
APG is an internationally recognized collaborative group of botanists that develops and maintains a modern, phylogeny-based classification system for flowering plants.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35ef22c8190966612cc75f69eca |
completed | March 7, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6562d6f08190a2be483b06a789cc |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.