Triple

T11820481
Position Surface form Disambiguated ID Type / Status
Subject National Taiwan University E281111 entity
Predicate memberOf P10 FINISHED
Object APR
APR is a regional academic and research association that includes institutions such as National Taiwan University among its members.
 E1537 NE FINISHED

How this triple was built (4 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: APR | Statement: [National Taiwan University, memberOf, APR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: APR
Context triple: [National Taiwan University, memberOf, APR]
  • A. APRIN
    APRIN is a Japanese organization focused on promoting research integrity and ethical conduct in academic and scientific communities.
  • B. 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.
  • C. APRR
    APRR is a major French motorway concession and operating company responsible for managing and maintaining a large portion of France’s autoroute network.
  • D. 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.
  • E. APG
    APG is the ICAO airline designator used to identify Philippines AirAsia in international aviation operations and communications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: APR
Triple: [National Taiwan University, memberOf, APR]
Generated description
APR is a regional academic and research association that includes institutions such as National Taiwan University among its members.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: APR
Target entity description: APR is a regional academic and research association that includes institutions such as National Taiwan University among its members.
  • 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. APRR
    APRR is a major French motorway concession and operating company responsible for managing and maintaining a large portion of France’s autoroute network.
  • D. 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.
  • E. APG
    APG is the ICAO airline designator used to identify Philippines AirAsia in international aviation operations and communications.
  • F. None of above.

Provenance (5 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131e1891081909cfbd9e2eb168808 completed April 28, 2026, 10:17 p.m.
NEDg Description generation batch_69f14e8a1b788190a1704d6e102342e3 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f15715a1588190ba0ec21647adc57c completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:42 p.m.