Triple

T7344771
Position Surface form Disambiguated ID Type / Status
Subject Arab Monetary Fund E169348 entity
Predicate abbreviation P43 FINISHED
Object AMF E169348 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: AMF | Statement: [Arab Monetary Fund, abbreviation, AMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMF
Context triple: [Arab Monetary Fund, abbreviation, AMF]
  • A. AMF
    AMF is a core 5G network function responsible for managing user access, registration, mobility, and connection handling between devices and the mobile network.
  • B. AMF chosen
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • C. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • D. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • E. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0eeb30081909d25704ac9b49d0e completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8de0888190b62101471048b8e1 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.