Triple

T1182563
Position Surface form Disambiguated ID Type / Status
Subject ASEAN Regional Forum E25171 entity
Predicate shortName P43 FINISHED
Object ARF
ARF is a key multilateral security dialogue platform in the Asia-Pacific region that brings together ASEAN members and other major powers to discuss political and security issues.
 E135249 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: ARF | Statement: [ASEAN Regional Forum, shortName, ARF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARF
Context triple: [ASEAN Regional Forum, shortName, ARF]
  • A. AFR
    AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
  • B. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • C. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • D. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • E. RFA
    RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
  • 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: ARF
Triple: [ASEAN Regional Forum, shortName, ARF]
Generated description
ARF is a key multilateral security dialogue platform in the Asia-Pacific region that brings together ASEAN members and other major powers to discuss political and security issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARF
Target entity description: ARF is a key multilateral security dialogue platform in the Asia-Pacific region that brings together ASEAN members and other major powers to discuss political and security issues.
  • A. AFR
    AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
  • B. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • C. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • D. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • E. RFA
    RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
  • F. None of above. chosen

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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd35fb888190adf1e5d0615fa725 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f21547c81909cf23c454436e839 completed March 7, 2026, 6:32 p.m.
NEDg Description generation batch_69ac6fc5442c8190a5d824881f05d468 completed March 7, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac7026dda48190a72f671dba9ac17b completed March 7, 2026, 6:36 p.m.
Created at: March 1, 2026, 7:45 p.m.