Triple

T23254707
Position Surface form Disambiguated ID Type / Status
Subject ASEAN Economic Ministers E581833 entity
Predicate shortName P43 FINISHED
Object AEM NE NERFINISHED

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: AEM | Statement: [ASEAN Economic Ministers, shortName, AEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEM
Context triple: [ASEAN Economic Ministers, shortName, AEM]
  • A. AEM chosen
    AEM is the commonly used abbreviation for the ASEAN Economic Ministers, the regional body responsible for coordinating economic policy and integration among ASEAN member states.
  • B. Adobe Experience Manager
    Adobe Experience Manager is a comprehensive content management and digital experience platform used by enterprises to create, manage, and deliver personalized web, mobile, and marketing content.
  • C. AEM-7
    The AEM-7 is a class of electric locomotives that long served as the primary high-speed passenger power on the electrified Northeast Corridor in the United States.
  • D. AUI
    AUI is the ICAO airline designator used to identify Ukraine International Airlines in international aviation operations.
  • E. AUI
    AUI is the National Rail station code for Ardlui railway station in Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193fadac881908579b5729718ee41 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.