Triple

T2805831
Position Surface form Disambiguated ID Type / Status
Subject Seoul National University E54050 entity
Predicate affiliation P10 FINISHED
Object APRIN E45220 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: APRIN | Statement: [Seoul National University, affiliation, APRIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APRIN
Context triple: [Seoul National University, affiliation, APRIN]
  • A. APRIN chosen
    APRIN is a Japanese organization focused on promoting research integrity and ethical conduct in academic and scientific communities.
  • B. 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.
  • C. APRU
    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.
  • 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. Apries
    Apries was a 26th Dynasty pharaoh of ancient Egypt, known for his reign during a period of political turmoil and foreign intervention in the Nile Delta.
  • 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.